5.1 Mysore: Vegetation cover of the study area assessed through NDVI (Figure 2a), shows that area under vegetation has declined to 9.24% (2009) from 51.09% (1973). Temporal NDVI values are listed in Table 1.

Land use analysis:  Land use assessed for the period 1973 to 2009 using Gaussian maximum likelihood classifier is listed Table 2a and the same is depicted in figure 2b. The overall accuracy of the classification ranges from 75% (1973), 79% (1989), 83% (1999) to 88% (2009) respectively. Kappa statistics and overall accuracy was calculated and is as listed in Table 2b. There has been a significant increase in built-up area during the last decade evident from 514% increase in urban area. Other category also had an enormous increase and covers 166 % of the land use. Consequent to these, vegetation cover has declined drastically during the past four decades. The water spread area has increased  due to the commissioning of waste water treatment plants (ex. Vidyaranyapura, Rayankere, Kesare)  during late 90’s and early 2000.

Table 1: Temporal Land cover details.

Year Vegetation Non vegetation
% Ha % Ha
1973 51.09 10255.554 48.81 9583.83
1989 57.58 34921.69 42.42 8529.8
1999 44.65 8978.2 55.35 11129.77
2009 09.24 1857.92 90.76 19625.41


Figure 2a: Temporal Land cover changes during 1973 – 2009

Table 2a:  Temporal land use details for Mysore

Land use Urban Vegetation Water Others
Year
1973 222.93 10705.68 124.47 9054.99
1989 229.41 13242.51 78.75 6557.4
1999 730.8 8360.1 117.9 10899.2
2009 3757.489 1159.336 142.58 15050.5
Total (Land in ha)                        20108.91


Figure 2b: Classification output of Mysore

Table 2b:  Kappa statistics and overall accuracy

Year Kappa coefficient Overall accuracy (%)
1973 0.76 75.04
1989 0.72 79.52
1999 0.82 78.46
2009 0.86 84.58

5.2 Shimoga: NDVI was calculated using r.mapcalc in GRASS, open source GIS and results are depicted in figure 3a and Table 3a. The analysis reveals that there was reduction in the vegetation cover from 89% to 66% during the past two decades in the study region.

Table 3a: Results of land cover analysis

Class Vegetation in % Non-Vegetation in %
Years
1992 89.35 10.65
1999 78.92 21.08
2005 74.83 25.16
2010 66.72 33.28


Figure 3a: Results of Land cover analysis

Land use analysis:Temporal land use is given in figure 3b and the statistics of category-wise land uses are for 5 time period is given in table 3b. Urban category has increased from 13% (1992) to 33% (2010), which is about 253 times during the last two decades. Notable factor is that the Cultivation which is the major land use in the study region has increased to a small extent. Vegetation had decreased drastically over last two decades from 30% (1992) to about 6% (2010). The results of the overall accuracy for each classification map were 90% (1992), 90.33% (1999), 92.45% (2005) and 94.12% (2010). Kappa values were 0.84 (1992), 0.85 (1999), 0.9 (2005) and 0.91 (for 2010).

Table 3b: Results of Land use analysis

Class Urban % Vegetation % Water % Cultivation %
Years
1992 13.58 30.94 1.52 53.95
1999 25.32 24.82 1.51 48.35
2005 28.16 10.09 1.12 60.62
2010 33.56 5.52 1.2 59.72


Figure 3b: Results of Land use analysis

5.3 Hubli –Dharwad: Both Hubli and Dharwad dominated by cultivable land area has a huge green area which includes both Green cover and cultivation. Vegetation cover of the study area assessed through NDVI (Figure 4a), shows that area under vegetation has declined from 97% (1989) to 78% (2010) in Hubli and from 98% (1989) to 86% (2010) in Dharwad. Temporal NDVI values are listed in Table 4a.

Land use analysis:  Land use assessed for the period 1973 to 2009 using Gaussian maximum likelihood classifier is listed Table 4b and the same is depicted in figure 4b. The overall accuracy of the classification ranges from 76% (1989), 83% (2000), 81% (2005) to 94% (2010) respectively. Kappa statistics and overall accuracy was calculated and is as listed in Table 4c. There has been a significant increase in built-up area during the last decade evident from table 4c. Other category covers major portion of the land use. Consequent to these, there has been a slight decrease of vegetation cover especially in the Dharwad region during the past three decades.

Table 4a: Temporal Land cover details (%).

Year Hubli -
Vegetation
Hubli -
Non-Vegetation
Dharwad -
vegetation
Dharwad -
Non-vegetation
1989 97.0 3.0 98.12 1.88
2000 94.35 5.65 96.48 3.52
2005 89.73 10.27 92.21 7.79
2010 78.31 21.69 86.43 13.57


Figure 4a: Temporal Land cover changes during Past three Decades Hubli and Dharwad

Table 4b:  Temporal land use details for Hubli

Land use -Hubli Urban Vegetation Water Others
Year
1989 1.08 0.22 0.64 98.06
2000 2.25 0.45 0.98 96.31
2005 9.85 0.71 0.74 88.70
2010 14.62 0.42 0.65 84.30

Table 4b:  Temporal land use details for Dharwad

Land use -Dharwad Urban Vegetation Water Others
Year
1989 0.62 1.43 0.51 97.45
2000 1.93 1.41 1.13 95.52
2005 3.75 1.29 0.25 94.71
2010 6.47 0.69 0.47 92.36

Table 4c:  Kappa statistics and overall accuracy

Year Kappa coefficient Overall accuracy (%)
1989 0.82 76.34
2000 0.89 83.54
2005 0.83 81.62
2010 0.91 94.86


Figure 4b:Classification output of Hubli & Dharwad

5.4 Gulbarga:Land use Land Cover analysis - Vegetation cover analysis: Vegetation cover of the study area assessed through NDVI (Figure 5a) shows that area under vegetation has declined by about 19%. Temporal NDVI values are listed in Table 5a, which shows that there has been a substantial increase in the area other than the vegetation.


Figure 5a: Temporal Land cover changes during 1973 – 2009

Table 5a: Temporal Land cover details
Year Vegetation Non vegetation
% %
1973 98.01 1.99
1992 94.72 5.28
2002 91.33 8.67
2010 79.41 20.57

Land use analysis:  Land use assessed for the period 1973 to 2010 using Gaussian maximum likelihood classifier is listed Table 5b and the same is depicted in figure 5b. The overall accuracy of the classification Ranges from 73.23% (1973) to 94.32% (2010). Kappa statistics and overall accuracy was calculated and is as listed in Table 5c. There has been a significant increase in built-up area during the last decade evident from 21% increase in urban area. Other category also had an enormous decrease in the land use. Consequent to these, vegetation cover has declined during the past four decades.

Table 5b:  Temporal land use details for Gulbarga

Land use Urban Vegetation Water Cultivation and others
Year
1973 1.08 1.01 0.34 97.17
1992 2.62 1.54 0.40 95.44
2002 7.22 0.55 0.23 92.01
2010 22.52 0.49 0.39 76.60

Table 5c:  Kappa statistics and overall accuracy

Year Kappa coefficient Overall accuracy (%)
1973 0.72 73.23
1989 0.86 89.69
1999 0.82 81.47
2009 0.93 94.32


Figure 5b: Classification output of Gulbarga

5.5 Raichur: Vegetation cover analysis - Vegetation cover of the study area assessed through NDVI (Figure 6a), shows that area under vegetation has declined by about 19%. Temporal NDVI values are listed in Table 6a. Which shows that there has been a substantial increase in the Non Vegetative area. There has been an increase from 3 % to 17 percent this tells us that there has been staggering growth of impervious cover in the region, which is also indicated by decrease in vegetative cover.

Land use analysis:  Land use assessed for the period 1973 to 2010 using Gaussian maximum likelihood classifier is listed Table 6b and the same is depicted in figure 6b. The overall accuracy of the classification Ranges from 69.28 % (1973) to 88.12 % (2010). Kappa statistics and overall accuracy was calculated and is as listed in Table 6c. There has been a significant increase in built-up area during the last decade evident from 590% increase in urban area which was 1.44% in 1975 has grown to 8.51% considering buffer area. Other category also had an enormous decrease in the land use. Consequent to these, cultivable area has come down drastically.

Table 6a: Temporal Land cover details

Year Vegetation Non vegetation
% %
1975 96.32 3.68
1989 92.18 7.82
2001 89.36 10.64
2010 82.48 17.52


Figure 6b: Classification output of Raichur

Table 6b:  Temporal land use details for Raichur

Land use Urban Vegetation Water Cultivation and others
Year
2010 8.51 4.81 0.97 85.71
2002 5.21 3.58 1.36 89.85
1992 2.48 0.91 1.04 95.57
1973 1.44 1.62 0.88 96.16

Table 6c:  Kappa statistics and overall accuracy

5.6 Bellary: Land use Land Cover analysis- Land cover analysis: Vegetation cover of the study area assessed through the computation of NDVI (Figure 7a). Since as discussed earlier the NDVI values indicate the status of vegetation versus Non vegetation, here vegetation indication all the reflectance’s which have higher values in Near IR region (Cultivation, vegetation etc.). The area under vegetation in 1973 is 57.53% which indicates that total of cultivable and vegetative area, since the open soil was higher in the region. During 1973-2001 there was an increase in cultivable area in these region which showed that vegetation increase in 2001, 2005 and 2010. To understand the vegetation status and cultivation status further and to assess the urban growth land use investigation was carried out. Temporal NDVI values are listed in Table 7a.

Table 7a: Temporal Land cover details.

Year Vegetation
%
Non-Vegetation
%
1973 57.51 42.47
2001 94.87 5.13
2005 94.8 5.2
2010 93.7 6.27


Figure 7a: Temporal Land cover changes during Past three Decades

Land use analysis:  Land use assessed for the period 1973 to 2010 using Gaussian maximum likelihood classifier is listed Table 7b and the results is as depicted in figure 7b. The overall accuracy of the classification ranges from 78% (1973), 86% (2001), 84% (2005) to 89% (2010) respectively. Kappa statistics and overall accuracy was calculated and is as listed in Table 7c. There has been a significant increase in built-up area during the last decade evident from table V. There has been a decrease of vegetation cover in the region during the past four decades. Significant increase in other class and the urban class was observed.


Figure 7b:Classification output of Bellary

Table 7b:  Temporal land use details for Bellary

Land use Urban Vegetation Water Cultivation and others
Year
2010 7.42 0.48 2.04 90.07
2005 4.23 0.92 4.73 90.12
2001 2.64 0.41 2.01 94.94
1973 2.12 4.61 2.35 90.92

Table 7c:  Kappa statistics and overall accuracy

Year Kappa coefficient Overall accuracy (%)
1973 0.69 78.32
2001 0.84 86.94
2005 0.82 84.53
2010 0.86 89.69

5.7 Belgaum: Land Cover Analysis - To understand the ration of vegetation and non-vegetation as primary analysis various land cover indices were analysed. NDVI index proved to provide insights to understand the vegetation cover. NDVI was calculated for all the years for which data is considered, the results of the analysis are shown in Figure 8a and are as tabulated in Table 8a. The results indicate that the vegetation in the study region decreased for 98.8% in 1989 to 91.74% in 2012. Further this necessitated understanding the land use temporally in order to understand the status of various land use.


Figure 8a: Land Cover Classification

Table 8a. Land cover analysis

Year Vegetation Non Vegetation
1989 98.8% 1.2%
2000 98.41% 1.59%
2006 96.35% 3.65%
2012 91.74 % 8.26 %

Land Use Analysis: The spatio temporal land use changes between years 1989 to 2006 were analysed using maximum likelihood Classifier, the results of the analysis are as shown in figure 8b and the temporal land use is as tabulated in  listed in Table 8b. The results of the analysis indicate that the urban impervious land use has increased from 0.31 % in 1989 to 6.74% in 2012; vegetation decreased from 4.62% in 1989 to 2.44% in 2012, Water category remained fairly constant.


Figure 8b. Land Use Classification

Table 8b. Land Use analysis

Year 1989 2000 2006 2012
Land use % Area(Ha) % Area(Ha) % Area(Ha) % Area(Ha)
Water 0.14 53.24 0.33 125.49 0.23 87.47 0.24 92.03
Vegetation 4.62 1756.92 2.58 981.14 2.33 886.07 2.44 928.73
Built up 0.31 117.89 1.17 444.93 4.81 1829.17   6.74 2190.15
Others 94.9 36089.11 95.92 36477.00 92.93 35339.95  91.58 34904.41
Total Area in Hectares :  38028.57  

Table 8c: Kappa Statistics and Accuracy Assessment

Year Overall Accuracy Kappa Value
1989 94.85 0.87
2000 92.73 0.83
2006 93.64 0.92
2012 93.12 0.93