Centre for Resilience Studies, Watershed Organisation Trust, Pune, 411009, India.
Environ Monit Assess. 2018 Aug 20;190(9):535. doi: 10.1007/s10661-018-6919-5.
The study examines long-term land use/land cover change (LUCC) at a finer scale in a semi-arid region of India. The objectives were to study and quantify the spatiotemporal LUCC and uncover the major drivers causing the change in the Mula Pravara river basin, which is located in a semi-arid region of Maharashtra state, India. Advanced very high-resolution radiometer (AVHRR)-Normalized Difference Vegetation Index (NDVI) 3g data for the years 1982-2015 were used to identify the 'hotspot' with significant positive and negative LUCC. Multi-temporal Landsat imagery was used to produce finer scale land use maps. From 1991 to 2016, the agricultural land area increased by approximately 98% due to the conversion of uncultivable and fallow lands to agriculture. The built-up area increased by 195%, and in recent years, an urban expansion has occurred in agricultural lands close to the urban fringe areas. There has been a shift from food crops to commercial crops, as observed from the steep increase in the amount of land under horticultural plantations, by 1601% from 2001 to 2016. In addition, the area under forest canopy was reduced in the protected regions. Institutional factors that improved access to water resources were the major drivers of change in hotspots, especially in the context of agriculture. Technological and economic factors were the other supporting factors that contributed to the change. This study demonstrates the advantages of using satellite remote sensing techniques to monitor the LUCC, which is useful for predicting future land changes and aids in planning adaptation strategies.
本研究以印度半干旱地区为案例，更细致地考察了长期土地利用/土地覆盖变化（LUCC）。研究目的是研究和量化时空 LUCC，并揭示导致马哈拉施特拉邦半干旱地区穆拉普拉瓦拉河流域发生变化的主要驱动因素。研究使用了高级甚高分辨率辐射计（AVHRR）归一化差异植被指数（NDVI）3g 数据，以识别具有显著正、负 LUCC 的“热点”。多时间序列 Landsat 图像用于生成更精细的土地利用图。1991 年至 2016 年，由于将无法耕种和休耕地转为农业用地，农业用地面积增加了约 98%。建成区面积增加了 195%，近年来，在靠近城市边缘的农业用地中出现了城市扩张。从粮食作物向商业作物的转变也很明显，从 2001 年至 2016 年，园艺种植面积增加了 1601%。此外，保护区的森林树冠面积减少了。改善水资源获取的制度因素是热点地区变化的主要驱动因素，特别是在农业方面。技术和经济因素是促成变化的其他支持因素。本研究展示了利用卫星遥感技术监测 LUCC 的优势，这对于预测未来土地变化和辅助规划适应策略非常有用。
