Spatio-Temporal Land Cover Analysis in Makhawan Watershed (M.P.), India through Remote Sensing and GIS Techniques

Abstract

The present study makes an attempt to assess land use/land cover (LU/LC) changes at watershed level through remote sensing and GIS techniques, in Makhawan Watershed, Madhya Pradesh (India). The study involves multi-temporal satellite data of IRS-1D LISS III of 2001 and IRS-P6 LISS III of 2011, which have been analyzed visually. The study reveals that major LU/LC changes were due to the combined effects of many parameters, viz.; decline in average rainfall, more urbanization, sustainable agricultural activities and successful wasteland reclamation programmes. The major LU/LC changes noticed in the watershed decrease in uncultivated land (15.79%), wasteland whereas increases in open scrub (13.99%) and cultivated land. Changes in LU/LC categories are also compared with elevation which shows that most of the changes are associated with low lying areas (lower elevation ranges) except open scrub which shows changes in both low as well as high elevation ranges. Another notable change is the shrinkage of reservoir during 2001-2011 period which is linked to the decline in rainfall over the years.

An Innovative Approach for the Assessment and Monitoring of Land Degradation and Desertification in Semi-Arid Regions Using Remote Sensing and GIS Techniques

“…In this study, we make an effort to assess and map the land degradation, deserti cation changes, and soil characteristics in the semi-arid area of the ATP district of AP, India between the years 1990 to 2019 using the combined technique of RS and GIS modeling. We found that there is a positive sign that the increase in water bodies is noticed0.52 Km 2 The soil Physico-chemical analysis provides to be very useful in assessing the degree of soil-salinization, most of the regions had moderate to saline type. Correlation studies examining the response amongst the spectral response of the soil and physio-chemical parameters revealed that band 5 (NIR) was better indicators of soil.…”

“…In the year 1990 fallow land is noticed as 41.93 km (13.71 %) and in the year 2000, it is increased to 73.96 km 2 (24.18 %). In the year 2010, it is decreased to 70.92 km 2 (23.19 %) and in the year 2019, it is increased to 80.60 km 2 respectively. Coming to the deserti ed lands, active geomorphic changes take place in this study region.…”

“…In the year 1990 vegetation is 159.12 km 2 (52.03%) is noticed. When coming to the year 2000 vegetation is decreased to 118.51 km 2 (38.75%) and in the years 2010 and 2019 it is also decreased to 109.90 km 2 (35.93%), 37.38 km 2 (28.57 %) respectively. Fallow land is in olive color in the supervised images.…”

Unveiling spatial insights: navigating the parameters of dynamic Geographic Information Systems (GIS) analysis

“…Addressing these challenges requires integrated approaches that balance environmental conservation, socio-economic development, and equitable governance, fostering resilience, sustainability, and well-being for current and future generations. Collaborative efforts among stakeholders, informed by scientific research, policy dialogue, and community engagement, are essential for navigating the complex landscape of land use and land cover dynamics in the decades ahead [16].…”