Abstract The forestry and Other Land Use (FOLU) sector in Indonesia is expected to contribute 60% of the greenhouse gas emission reduction. priority location for enhancing carbon stock as mitigation action natural forests, such Mount Halimun Salak National Park (MHSNP). objectives this research were estimate vegetation cover changes 2016, 2019, 2022, analyze programs affecting forest MHSNP. Thi...

Abstract The vegetation of the Galapagos Islands (Ecuador) is strongly influenced by climate. El Niño events, seasonality, isolation, volcanism, and increasing human activity define ecosystems archipelago. Given their socio-cultural economic importance, it critical to monitor response changes in climate assess its vulnerability. This study explores potential use Normalized Difference Vegetation...

[1] The evaluation of the relationship between satellitederived vegetation indices (normalized difference vegetation index and normalized difference water index) and soil moisture improves our understanding of how these indices respond to soil moisture fluctuations. Soil moisture deficits are ultimately tied to drought stress on plants. The diverse terrain and climate of Oklahoma, the extensive...

This paper reports the passive microwave radiometry application for regional assessment of crop growth in India. Brightness temperature (TB) of various vegetation classes observed at 37 GHz using special sensor microwave imager (SSMI) data. during Kharif season in 1 999 in India are analyzed. Vertical as well as hQrizontal polarization brightness temperature is used to derive microwave polariza...

the normalized difference vegetation index (ndvi) derived from the spot 4 satellite has been widely used to monitor moisture-related vegetation condition. the relationship between vegetation and climate index, however, is complex and has not been adequately studied with satellite sensor data. to better understand this relationship, an analysis was conducted on time series of monthly ndvi (1999–...

The present study demonstrates the application of remote sensing for the estimation of areas corresponding to crop and forest lands covered in the district of Aurangabad, (Maharashtra), India. The data acquired by IRS-P6 Advanced Wide Field Sensors (AWiFS) having 56m spatial resolution for the months of October & December 2012 which covered complete study areas with its swath of 740Km has been ...