ID: 57442
Title: Hydro-chemical assessment of groundwater considering distillery effluent irrigation
Author: Bineet Singh, J S Chauhan and Anuraag Mohan
Editor: Dr P K Goel
Year: 2012
Publisher: Technosciences Publications, Vol 11, No (3), September 2012
Source: Centre for Ecological Sciences
Reference: None
Subject: Nature Environment and Pollution Technology
Keywords: Distillery effluent irrigation, groundwater contamination, Gajraula
Abstract: The objective of this study is to evaluate contamination of groundwater due to distillery effluent irrigation. The groundwater chemistry was studied in a series of eight multi-level depth locations of Gajraula and its suburb of JP nagar district in Uttar Pradesh. The treated distillery effluent was used twice @ 225-50 m3/ha as a pre-sown irrigation. The study was conducted in pre-irrigation and post-irrigation phase for the year 2008-2009. The comparative analysis showed that private wells (shallower hand pumps) have high NO3-, BOD and Fe concentrations as compared to the public supply wells (deep boreholes) during the post irrigation. The TDS, Cl- and Ca+2 values were found near to IS:10500 permissible limit values i.e., 500 mg/L, 250 mg/L and 75 mg/L respectively. However, negative effect of the effluent irrigaiton on groundwater quality was reported at R-1, R-2, R-3 and R-4 sites, which may have been influenced by industrial, local agricultural practices, distillery lagoon and effluent irrigation as mixed sources.
Location: TE 15, Biologicalsciences Building, IISc
Literature cited 1: None
Literature cited 2: None
ID: 57441
Title: Geomorphological mapping for identification of ground water potential zones in hard rock areas using geo-spatial information - A case study in Malur taluk, Kolar district, Karnataka, India
Author: S N Ramaiah, G S Gopalakrishna, S Srinivasa Vittala and K Md Najeeb
Editor: Dr P K Goel
Year: 2012
Publisher: Technosciences Publications, Vol 11, No (3), September 2012
Source: Centre for Ecological Sciences
Reference: None
Subject: Nature Environment and Pollution Technology
Keywords: Geomorphic mapping, Ground water prospect zones, Remote sensing, GIS, Malur taluk
Abstract: The search for new groundwater resources is essential to sustained economic development in arid environment. The study area is part of Ponnaiyar river basin falling between N latitude of 12048 ' 24" to 13007 ' 06" and E longitude of 77050 ' 30" to 780 08 ' 15" falls in Survey of India toposheets 57 G/16, 57 H/13, 57 K/4 and 57 L/1 covering an area of 645 km2 in Kolar District, which is highly drought prone in Karnataka state, India. In the present paper, by a methodoogical approach based on remote sensing and GIS, drainage and hydrogeomorphological maps were prepared using the IRS-1C & 1D LISS-III and PAN merged satellite data and geomorphic units. Denudational hill, residual hill, inselberg, pediment inselberg complex, pediment, shallow weathered pediplain, moderately weathered pediplain and valley fill shallow were identified. The area is characterised by undulating terrain interspersed by low ranges of rocky hills. The elevation ranges from 860 m to 1127 m above MSL. The mean annual rainfall of Malur is 722.0 mm. The River Dhakshina Pinakini and Markarda Halla drain the area. The streams exhibit dendritic to sub dendritic type of drainage pattern and comprise of granite adn gneissic rock formations of Achaean age. On the basis of different geomorphic units, for categories of groundwater potential zones were delineated as (i) very good to good (ii) good to moderate (iii) moderate to poor, and (iv) poor to very poor.
Location: TE 15, Biologicalsciences Building, IISc
Literature cited 1: None
Literature cited 2: None
ID: 57440
Title: Evaluation and assessment of recyclables in households of Samanabad town, Lahore, Pakistan
Author: Syeda Amber Fatima, M Nawaza Chaudary and Adila Batool
Editor: Dr P K Goel
Year: 2012
Publisher: Technosciences Publications, Vol 11, No (3), September 2012
Source: Centre for Ecological Sciences
Reference: None
Subject: Nature Environment and Pollution Technology
Keywords: Solid waste, Household recyclables, recycling, Samanabad, Pakistan
Abstract: Recycling today constitutes the most environmental friendly method of managing solid wastes. This research work was carried out to evaluate the existing situation of recyclables in the households of Samanabad Colony, Lahore. A survey was carried out of 726 houses and questionnaires were filled by housekeepers. The housekeepers were provided with large size shopping bags and requested to put the waste in these bags and hand them over to researchers. Physical analysis of the waste was done. Chemical analysis was also doen in the laboratory of the College of Earth and Environmental Sciences. All data collected through questionnaire were fed in the computer and analysed. Generation rate and collection rate of the recyclables were calculated at 0.15kg/c/day and 0.11 kg/c/day respectively. The rest waste was 0.40 kg/c/day. Teh total material which is recycled or reused is 1620.1 kg/day, in which 56% is newspaper, 3.2% is magazine, 2.5% is cardboard, 2.1% is glass jam bottles, 1.7% is glass juice bottles and 16.8% is iron items, 8% is non ferrous items and 8.6% is textile. The composition of solid waste in the research area was found as follows: Paper 6.42%, plastic 8.17%, Metal 3.18%, organic waste 62.9%, hazardous waste 3.7% and textile 6.5%.
Location: TE 15, Biologicalsciences Building, IISc
Literature cited 1: None
Literature cited 2: None
ID: 57439
Title: Seasonal changes in soluble sugar contents in different parts of Alternanthera philoxeroides from aquatic and terrestrial habitats
Author: Wenzhu Fu, Weirong Bai, Huyin Huai and Aizhong Liu
Editor: Dr P K Goel
Year: 2012
Publisher: Technosciences Publications, Vol 11, No (3), September 2012
Source: Centre for Ecological Sciences
Reference: None
Subject: Nature Environment and Pollution Technology
Keywords: Alligator weed, Alternanthera philoxeroides, soluble sugar contents, cold acclimation, invasive plant
Abstract: Exotic invasive is considered as the second factor influencing biodiversity after habitat lose. Alligator weed (Alternanthera philoxeroides Griseb) a perennial herb native to the South America, has established itself on almost all the surface of the earth except Africa. In China, alligator weed has invaded most temperate regions where the environmental conditions, particularly temperature, are obviously different from its origin. How can alligator weed survive through cold winters is a critical issue for its establishment in these areas. In this research, we investigated the seasonal change of soluble sugars content (SSC), which presented important physiological reaction to cold acclimation, in different parts including buds, nodes, and internodes of alligator weed from aquatic and terrestrial habitats. Results showed that accumulation of soluble sugars was regularly correlated to temperature change in environment, ie., the highest SSC in the coldest season, and the lowest in summer. Among different parts such as nodes, buds and internodes in individuals from terrestrial and aquatic habitats, accumulation of SSC presented similar results. The accumulation of SSC and its seasonal dynamics may be a physiological acclimation to low temperature so that alligator weed could establish in these regions and survive through cold winters ecologically.
Location: TE 15, Biologicalsciences Building, IISc
Literature cited 1: None
Literature cited 2: None
ID: 57438
Title: Inhibition of nitrification in soil under pastures in Western Australia
Author: Ahmed Hasson
Editor: Dr P K Goel
Year: 2012
Publisher: Technosciences Publications, Vol 11, No (3), September 2012
Source: Centre for Ecological Sciences
Reference: None
Subject: Nature Environment and Pollution Technology
Keywords: Nitrification rate, nitrification inhibition, perennial pastures, leaching
Abstract: Nitrification processes can play a key role in the functioning of Western Australia natural ecosystems. It is directly involved in plant nitrogen losses through leaching and denitrification. Suppression of this process by pastures is poorly understood. The research was conducted on the deep-sand at Mingenew in the Northern Agricultural Region, WA. Nitrification rate was determined under annual, perennial pastures and tagasaste fodders grown in situ. Nitrification and inhibition rates were calculated based-on measurements of NH4-N, NO3-N over a period of 6 months. Under natural conditions (control) the nitrification rates of ammonium-N (NH4-N) were rapid from 80 to 97% during the season. Nitrification rates under annuals, perennial pastures and tagasaste plants were 35 to 80%, 58 to 58% and 30 to 75% respectively. It was found that there is a high negative correlation (R2 = -0.84) between biomass and nitrification rate, and a high positive correlation between biomass and inhibition rate (0.74). Such results suggest that pastures species can have important consequences for nitrogen cycling at the permanent growth and population density.
Location: TE 15, Biologicalsciences Building, IISc
Literature cited 1: None
Literature cited 2: None
ID: 57437
Title: Upward-fusion urban DTM generating method using airborne Lidar data
Author: Ziyue Chen, Bernard Devereux, Bingbo Gao, Gabriel Amable
Editor: George Vosselman
Year: 2012
Publisher: Elsevier, Vol 72, August 2012
Source: Centre for Ecological Sciences
Reference: None
Subject: ISPRS Journal of Photogrammetry and Remote Sensing
Keywords: Airborne Lidar, Upward-fusion, GIS, generation, DTM, urban
Abstract: Airborne Lidar (Light detection and ranging) is an efficient tool for the generation of Digital Terrain Models (DTMs). Although many studies have been conducted in generating DTMs using Lidar data, it is still a challenging research area. The difficulty in filtering large buildings as well as a diversity of urban features makes the design of urban DTM generating methdos an ongoing priority.
This research adopted an upward-fusion methodology to generate urban DTMs using airborne Lidar data. Firstly, several preliminary DTMs of different resolutions were obtained using a local minimum method. Next, upward fusion was conducted between these DTMs. This process began with the DTM of the largest grid size, which was treated as a trend surface. A finer DTM was compared with this large scale DTM. By setting appropriate thresholds, a new DTM was achieved by selecting qualified elevation values from the finer DTM and retaining the value of the trend surface when the value from the finer DTM was beyound the threshold. This process continued iteratively unitl all preliminary DTMs had been included in the upward fusion and a refined DTM of high resolution was achieved. To further reduce possible errors in the resulting DTM, an extended local minimum method was proposed for filtering outliers and generating preliminary DTMs.
A case study was carried oiut in the city of Cambridge, which represents an urban landscape with a variety of building forms, street patterns and vegetation structures. The time efficiency, results of the accuracy assessments and comparison with leading software proved the success of the case study and indicated that upward-fusion was an effective method for the generation of urban DTMs with airborne Lidar data and could improve the accuracy of other DTM generating algorithms. This paper also proposed possible approaches for further improvements on this methodology.
Location: TE 12, Biologicalsciences Building, IISc
Literature cited 1: None
Literature cited 2: None
ID: 57436
Title: Bundle adjustment with additional constraints applied to imagery of the Dunhuang wall paintings
Author: Yongjun Zhang, Kun Hu, Rongyong Huang
Editor: George Vosselman
Year: 2012
Publisher: Elsevier, Vol 72, August 2012
Source: Centre for Ecological Sciences
Reference: None
Subject: ISPRS Journal of Photogrammetry and Remote Sensing
Keywords: Dunhuang wall painting imagery, Bundle adjustment, Additional constraints, correlation analysis, Accuracy
Abstract: In the digital conservation of the Dunhuang wall painting, bundle adjustment is a critical step in precise orthoimage generation. The error propagation of the adjustment model is accelerated because of near-planar photographic object intensifies correlation of the exterior orientatio parameters and the less than 60% forward overlap of adjacent images weakens the geometric connection of the network. According to the photographic structure adopted in this paper, strong correlation of the exterior orientatio parameters can be verified theoretically. In practice, the additional constraints of near-planarity and exterior orientation parameters are combined iwth bundle adjustment to control the error propagation. The positive effects of the additional constraints are verified by experiments, which show that the introduction of weighted observation equations into bundle adjustment contributes a great deal to the theoretical and actual accuracies of the unknowns as well as the stability of the adjustment model.
Location: TE 12, Biologicalsciences Building, IISc
Literature cited 1: None
Literature cited 2: None
ID: 57435
Title: Mapping impervious surfaces from superresolution enhanced CHRIS/Proba imagery using multiple endmember unmixing
Author: Luca Demarchi, Jonathan Cheung-Wai Chan, Jianglin Ma, Frank Canters
Editor: George Vosselman
Year: 2012
Publisher: Elsevier, Vol 72, August 2012
Source: Centre for Ecological Sciences
Reference: None
Subject: ISPRS Journal of Photogrammetry and Remote Sensing
Keywords: Angular hyperspectral imagery, CHRIS/Proba, Superresolution, Multiple endmember unmixing, impervious surface mapping, urban areas
Abstract: In this paper, the potential of superresolution (SR) image reconstruction methods for sub-pixel landcover mapping in dense urban areas is studied. A multiple endmember approach (MESMA) is used for unmixing both original hyperspectral CHRIS/Proba and SR enhanced CHRIS/Proba data. Validation based on high resolution orthophotos (25 cm) shows that land-cover fraction maps generated from SR-enhanced enhanced CHRIS/Proba data (9m) have a lower overall fractional error compared to the land-cover fractions produced from the original CHRIS data (18 m), when validating both results at the 18 m resolution. Validation of SR results at the 9 m resolution produces an overall mean absolute error (OMAE) of 16.7% compared to an OMAE of 14.3% at the 18 m resolution, with the original data, yet the impervious surface map produced at 9 m has a much higher level of detail than the original map, better representing the built - up pattern of the urban environment. Detailed analysis of impervious surface mapping results for different reference proportion intervals points at smaller average fractional errors for impervious surface fractions produced from SR-enhanced data when validation is done at the original 18 m resolution, over the entire range of proportions. Only for pixels not containing any impervious surface cover the fractional error is marginally higher than with the original data. These results demonstrate the potential of SR-error is marginally higher than with the original data. These results demonstrate the potential of SR-enhanced data for more accurate impervious surface mapping in dense and heterogeneous urban areas.
Location: TE 12, Biologicalsciences Building, IISc
Literature cited 1: None
Literature cited 2: None
ID: 57434
Title: Tempora mixture analysis for estimating impervious surface area from multi-temporal MODIS NDVI data in Japan
Author: Fan Yang, Bunkei Matsushita, Takehiko Fukushima, Wei Yang
Editor: George Vosselman
Year: 2012
Publisher: Elsevier, Vol 72, August 2012
Source: Centre for Ecological Sciences
Reference: None
Subject: ISPRS Journal of Photogrammetry and Remote Sensing
Keywords: Impervious surface area, Temporal mixture analysis, MODIS, NDVI time-series
Abstract: As a proxy measure of the human ecological footprint, imperviois surface area (ISA) has recently become a key concept in the field of urban remote sensing, with a focus on estimation of the ISA at a city-scale by using Landsat-style satellite images However, ISA estimation is also in demand in disciplines such as the environmental assessement and policy making at a national scale. This paper proposes a new method for estimating the ISA fraction in Japan based on a temporal mixture analysis (TMA) technique. The required inputs for the proposed method are rearranged MODIS NDVI time-series datasets at the temporal stable zone (i.e., the first to the sixth largest NDVI values in a year). Three ISA distribution maps obtained from Landsat-5 TM data were used as reference maps to evaluate the performance of the proposed method. The results showed that the proposed TMA-based method achieved a large reduction in the effects of endmember variability compared with the previous methods (e.lg. SMA and NSMA) and thus the new method has promising accuracy for estimating ISA in Japan. The overall root mean square error (RMSE) of the proposed method was 8.7% with a coefficient of determination of 0.86. and there was no obvious underestimation or overestimation for the whole ISA range.
Location: TE 12, Biologicalsciences Building, IISc
Literature cited 1: None
Literature cited 2: None
ID: 57433
Title: Assessment of soil surface roughness statistics for microwave remote sensing applications using a simple photogrammetric acquisition system
Author: Philip Marzahn, Dirk Rieke-Zapp, Ralf Ludwig
Editor: George Vosselman
Year: 2012
Publisher: Elsevier, Vol 72, August 2012
Source: Centre for Ecological Sciences
Reference: None
Subject: ISPRS Journal of Photogrammetry and Remote Sensing
Keywords: Photogrammetry, soil surface roughness, Remote sensing, SAR, soil science
Abstract: In this paper we present a simple and efficient method to measure soil surface roughness in an agricultural environment. With the deployed system one can generate digital surface models (DSMs) with a minimum size of 1 x 2.5 m2 extendable to any desired size. Using this approach, we generated a set of 22 DSM with sizes ranging from 2.5 m2 to 4m2 and x-, y- resolution of 2mm. The DSM were acquired over different roughness conditions representing ploughed, harrowed as well as crusted fields. For roughness characterization we calculated different roughness indices (RMS-height s, autocorrelation length l). In an extensive statistical investigation we show the behavior of the roughness indices for different acquisition sizes of the proposed method. Results indicate, compared to results from profiles generated out of the datasets, that using a three dimensional measuring device, the calculated roughness indices for different acquisition sizes of the proposed method. Results indicate, compared to results from profiles generated out of the dataset, that using a three dimensional measuring devices, the calculated roughness indices are more robust in their estimation. Results also indicate a strong directional dependency of the proposed roughness indices.
Location: TE 12, Biologicalsciences Building, IISc
Literature cited 1: None
Literature cited 2: None
ID: 57432
Title: Impact of no GCP on elevation extraction form WorldView stereo data
Author: Th Toutin, C V Schmitt, H Wang
Editor: George Vosselman
Year: 2012
Publisher: Elsevier, Vol 72, August 2012
Source: Centre for Ecological Sciences
Reference: None
Subject: ISPRS Journal of Photogrammetry and Remote Sensing
Keywords: Modeling, high-resolution, satellite, optical, stereoscopic, DEM/DSM
Abstract: A hybrid model based on 3D deterministic Toutin ' s model developed at the Canada Centre for Remote Sensing and taking full advantages of the image metadata was used to geometrically process WorldView-1 and -2 stereo images without in situ ground control points (GCPs) collection. Elevations were thus extracted and compared to 0.2 m accurate lidar elevation data to see the impact of no-GCP. Elevations linear errors with 68% confidence level (LE68) computed over bare surfaces were 2.6 m and 2.1m for WorldView-1 and -2, respectively with small biases. The not-significant difference in LE68 (around 10-20cm), when compared to the solution using accurate GCPs, will offer strong advantages of no-control collection in operational conditions, mainly in remote and harsh enviornments or when cartographic or ground control data do not exist.
Location: TE 12, Biologicalsciences Building, IISc
Literature cited 1: None
Literature cited 2: None
ID: 57431
Title: Spatio - temporal MODIS EVI gap filling under cloud cover: An example in Scotland
Author: Laura Poggio, Alessandro Gimona, Iain Brown
Editor: George Vosselman
Year: 2012
Publisher: Elsevier, Vol 72, August 2012
Source: Centre for Ecological Sciences
Reference: None
Subject: ISPRS Journal of Photogrammetry and Remote Sensing
Keywords: Interpolation, Kriging, cloud cover, covariates, Digital elevation model, prediction
Abstract: Time series of satellite data have an important role in the monitoring of regional and global ecosystem properties. Satelilte images often present missing data due to atmospheric aerosol clouds or other atmospheric conditions. Most methods proposed to minimise the effects of degradation and to restore signal values do not take into account the spatial and temporal correlation of the values in the pixels. The aim of this study was to propose and test a spatio-temporal interpolation method to reconstruct pixel values in MODIS data time series that are missing due to cloud cover or other image noise. The method presented and tested is an example of a hybrid Generalised Additive Model (GAM)-geostatistical space-time model, including the fitting of a smoother spatio-temporal trend and a spatial component to account for local details supported by information in covariates. The method is not limited by the type of noise or degradation of pixels values, latitude, vegetation dynamics and land uses. The application of cloud masks on the target image provided the data for a quantitative validation through the comparison between the modelled EVI values and those from the MODIS product. The method was able to restore data providing very good to adequate responses in series of simulations of missing data. The comparison of distributions showed good agreement and predictive capabilities. The spatio-temporal method always performed better and the use of kriged residuals was helpful for situations with high percentages of missing data. The spatial pattern and the local features were well preserved for cloud coverage < 20%. For higher percentages of missing data, the results were smoother with less local detail retained, but still showing the general spatial pattern of the variable. The method has proved to be flexible and able to provide reconstructed iamges reproducing spatial patterns and local features of the measured product, even with substantial amounts of missing pixels.
Location: TE 12, Biologicalsciences Building, IISc
Literature cited 1: None
Literature cited 2: None
ID: 57430
Title: Characterizing land-use classes in remote sensing imagery by shape metrics
Author: Limin Jiao, Yaolin Liu, Hongliang Li
Editor: George Vosselman
Year: 2012
Publisher: Elsevier, Vol 72, August 2012
Source: Centre for Ecological Sciences
Reference: None
Subject: ISPRS Journal of Photogrammetry and Remote Sensing
Keywords: Landd-use, image segmentation, landscape metrics, shape metrics, image classification
Abstract: Shape is an important aspect of the spatial attributes of land-use segments in remotely sensed imagery, but it is still rarely used as a component in land-use classification or image-based land-use anlaysis. This study aimed to quantitatively characterize land-use classes using shape metrics. The study was conducted in a case area located in southern China, covering 12 scenes of SPOT-5 images. There were a total of 10 metrics selected for the analysis: convexity (CONV), solidity (SOLI), elongation (ELONG), roundness(ROUND), rectangular fitting (RECT), compactness (COMP), form factor (FORM), square pixel metirc (SqP), fractal dimension (FD), and shape index (SI). The last five metrics were used to measure the complexity of shape. Six land-use classes were investigated in the case area: roads; cultivated lands; settlements;rivers;ponds; and forest and grass lands. The results showed that all the typical shape properties of the land-use segments can be well measured by shape metrics. We identified the land-use classes whose values were significantly differentiated from the other classes for each metric. Finally, we selected five shape metrics (SOLI, ELONG, ROUND, RECT, FORM) by visual comparison and statistical analysis of the metrics values, and deduced the "shape metric signatures" (SMS) of the different land-use classes. SMS were found to be accurate and predictive discriminators of land-use classes within the study area. Our results showed that SMS can clearly distinguish spectrally similar land-use classes. The results of this study will help to build a more accurate and intelligent object-oriented classification system for land-use classes.
Location: TE 12, Biologicalsciences Building, IISc
Literature cited 1: None
Literature cited 2: None
ID: 57429
Title: Classification of 10m - resolution SPOT data using a combined Bayesian Network classifier-shape adaptive neighborhood method
Author: Jingxue Yang, Yunpeng Wang
Editor: George Vosselman
Year: 2012
Publisher: Elsevier, Vol 72, August 2012
Source: Centre for Ecological Sciences
Reference: None
Subject: ISPRS Journal of Photogrammetry and Remote Sensing
Keywords: Bayesian Network Classifier, Shape adaptive neighborhood, Fisher optimal division, Maximum likelihood classifier, remote sensing, classification
Abstract: A hybrid inversion method that combines a Bayesian Network Classifier (BNC) with shape adaptive neighborhoods (SANs) is proposed for the classification of 10-m resolution remote sensing images. BNC uses a directed acyclic graph (DAG) to describe variable relationships. We define feature bands and land use/cover types as the feature and class variables, respectively, and describe them as nodes in the DAG. BNC only uses the posterior probability of the class node, and predicts the class with the highest posterior probability. A SAN, containing spectral, textual, and shape features, is used to study the Bayesian network structure, in constrast to methods which only use spectral features. The classification results of the proposed SAN-BNC are compared with those of the spectral-based Maximum Likelihood Classifier (MLC), the SAN-based MLC, and the SAN-based Support Vector Machine (SVM) using Guangzhou as a case study. Our results show that BNC and SVM have superior inference abilities relative to MLC. Ten meter resolution images will furnish better classification results using the proposed SAN-BNC procedure.
Location: TE 12, Biologicalsciences Building, IISc
Literature cited 1: None
Literature cited 2: None
ID: 57428
Title: Remote sensing of forage nutrients: combining ecological and spectral absorption feature data
Author: Nichola M Knox, Andrew K Skidmore, Herbert H T Prins, Ignas M A Heitkonig, Rob Slotow, Cornelis van der Waal, William F de Boer
Editor: George Vosselman
Year: 2012
Publisher: Elsevier, Vol 72, August 2012
Source: Centre for Ecological Sciences
Reference: None
Subject: ISPRS Journal of Photogrammetry and Remote Sensing
Keywords: Landscape, Modelling, monitoring, ecology, resources, hyperspectral
Abstract: Forage quality in grassland-savanna ecosystems support high biomass of both wild ungulates and domestic livestock. Forage quality is however variable in both space and time. In this study findings from ecological and laboratory studies, focused on assessing forage quality, are combined to evaluate the feasibility of a remote sensing approach for predicting the spatial and temporal variations in forage quality. Spatially available ecological findings (ancillary data), and physically linked spectral data (absorption data) are evaluated in this study and combined to create models which predict forage quality (nitrogen, phsophorus and fibre concentrations) of grasses collected in the Krugger National park, South Africa, and analysed in both dry and wet seasons. Models were developed using best subsets regression modelling. Ancillary data alone, could predict forage components, with a higher goodness of fit and predictive capability, than absorption data (Ancillay: Radj2 = 0.42 -0.74 compared with absorption: Radj2 = 0.11 - 0.51, and lower RMSE values for each nutrient produced by the ancillary models). Plant species and soil classes were found to be ecological variables most frequently included in prediction models of ancillary data. Models in which both ancillary and absorption variables were included, had the highest predictive capabilities (Radj2 =0.49-0.74 and lowest RMSE values) compared to models where data sources were derived from only one of the two groups. This research provides an important step in the process of creating biochemical models for mapping forage nutrients in savanna systems that can be generalised seasonally over large areas.
Location: TE 12, Biologicalsciences Building, IISc
Literature cited 1: None
Literature cited 2: None