Assessing the land degradation and greening response to changes in hydro‐climatic variables using a conceptual framework
A case‐study in central India
Bibliographic Data
Field‐based investigations of land use/cover changes are time‐consuming and challenging for large areas, where short‐ and long‐term changes in climatic and hydrologic variables affect ecosystem services. Thus, there is a substantial demand to boost the new modelling framework and employ remote sensing capabilities to quantify hydro‐climatic impacts on land dynamics. In this study, a conceptual framework has used to assess the climatic land greening, climatic land degradation, nonclimatic (hydrological) land greening, and nonclimatic (anthropogenic) land degradation responses with hydro‐climatic variables under dry and wet spells' effect in the Betwa River basin (BRB) of central India. Remotely sensed moderate‐resolution imaging spectro‐radiometer (MODIS) (normalized difference vegetation index [NDVI] and land cover) time‐series datasets had been used to quantify spatiotemporal changes in major land use/cover classes. The standardized coefficients for rainfall ( β = 0.62) and relative humidity ( β = 0.32) showed their high relative importance in the relationship analysis performed using multiple linear regression (MLR). The result indicates that dominant agricultural cropland has been significantly impacted by changes in maximum and diurnal temperature, which affirm degradation, and positively responded by changes in rainfall, minimum temperature, and aridity index, which demonstrate greening wet period. Spatial analysis showed that land degradation affecting ecosystem services had been variedly distributed from the upper to lower basin due to more climatic impacts than anthropogenic disturbances. Thus, the developed conceptual framework can be adopted to discover dynamic land consequences and understand their responses for sustaining ecosystem services in the dominant agricultural region
Advanced very-high-resolution radiometer · Arid · Aridity index · Climate change · Ecosystem · Geography · Greening · Land cover · Land degradation · Land use · Normalized Difference Vegetation Index · Physical geography · Environmental Science · Land Use and Ecosystem Services · Remote Sensing and LiDAR Applications · Remote Sensing in Agriculture · Ecology
Climate Change Impacts Assessment Using Crop Simulation Model Intercomparison Approach in Northern Indo-Gangetic Basin of Bangladesh
Land use changes, degradation, and impact on ecosystem services in Asia and Southeast Asia
Disentangling Climate and Human Drivers of Land Degradation in East and Southern Africa
Smoothing and Differentiation of Data by Simplified Least Squares Procedures.
Overview of the radiometric and biophysical performance of the Modis vegetation indices
Monsoons
A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter
Red and photographic infrared linear combinations for monitoring vegetation
Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999
Global land cover mapping from Modis
Modis Collection 5 global land cover
Vegetation dynamics and their response to freshwater inflow and climate variables in the Yellow River Delta, China
Signals of Medieval Warm Period and Little Ice Age from southwestern Madhya Pradesh (India)
| Citations per year | 0.75 |
|---|---|
| Citation span | 2022 - 2025 (4) |
| Highly cited | No |