G. Sandhya Kiran

TL;DR: In this article, the authors used Advanced Very High Resolution Radiometer (AVHRR) data from 1985 to 2009, a climatological study of Sea Surface Temperature (SST) and its inter annual variability in the Persian Gulf (PG), Gulf of Oman, Gulf of Aden (GA), Kutch (KTCH), KMBT, and Red Sea (RS) was carried out using the normalized SST anomaly index.

TL;DR: In this paper, the authors show that sprawl is high and this sprawl has evenly dispersed distribution across the space with absorption of land increasing over a period of time, but at the same time the absorbed land requires more planning and proper utilization as evident from lower LCR values.

TL;DR: In this paper, two nonparametric machine learning algorithms viz Support Vector Machines (SVMs) with different kernel functions were employed for the prediction of above ground biomass using different combinations of VV, VH, Normalized Difference Vegetation Index (NDVI) and Incidence Angle (IA).

TL;DR: In this paper, the authors used quadrat sampling in Shoolpaneshwar Wildlife Sanctuary (SWS), Gujarat, which was used to compute Shannon-Weiner Diversity Index (H′), above ground biomass (AGB) was calculated measuring the Height and Diameter at Breast Height (DBH) of different trees in the sampling plots.

TL;DR: This study is one of the few focusing on exploring and demonstrating the added value of the synergistic use of the Cellular Automata Markov Chain Model Coupled with Fragmentation Statistics in forest degradation analysis and prediction.