Abstract

The present work intended to model the vegetation health index (VHI) of rabi crop and explored its time series change (1990–2019) at pixel scale using Landsat satellite imageries. Identification of consistency level of rabi crop was another objective. VHI was estimated by integrating crop condition index (CCI) and temperature condition index (TCI). The CCI and TCI were derived from normalized difference vegetation index (NDVI) and land surface temperature (LST). 80% of the study area covered by rabi crop with 8.73% of variability. Remarkable change in crop health (VHI) was detected in the last 30 years. 5% of rabi cropped area was under good health category in the present decade (2010–2019), while it was around 10% during 1990–2009. During last decade, the poor health category of rabi crop was only 7.40% area, while it reached to 66.74% in the present decade. Good VHI area was getting fragmented and vice versa.

摘要

当前的工作旨在对狂犬病作物的植被健康指数（VHI）进行建模，并使用Landsat卫星图像探索其在像素尺度上的时间序列变化（1990-2019年）。鉴定狂犬病作物的稠度水平是另一个目标。通过综合作物状况指数（CCI）和温度状况指数（TCI）估算VHI。CCI和TCI是根据归一化植被指数（NDVI）和地表温度（LST）得出的。研究区域的80％被狂犬病作物覆盖，变异性为8.73％。在过去30年中发现了作物健康（VHI）的显着变化。狂犬病的5％在当前十年（2010-2019年）中，农作物面积属于良好健康类别，而在1990-2009年期间，这一比例约为10％。在过去的十年中，健康状况较差的狂犬病作物仅占7.40％的面积，而在本十年中达到了66.74％。良好的VHI区域变得零散，反之亦然。