학술논문
Exploring Google Earth Engine For Natural Resources Management Using Machine Learning Models
Document Type
Conference
Author
Source
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2023 - 2023 IEEE International. :2910-2913 Jul, 2023
Subject
Language
ISSN
2153-7003
Abstract
To reconcile social and economic progress with environmental conservation, natural resource management (NRM) focuses on the long-term sustainability of natural resources. Current and future generations must preserve major natural resource wherein, mangroves are one of the world's most productive and economically beneficial forests, growing in marshes, shorelines, coastline regions, and coastal zone of river deltas in tropical, subtropical, and few temperate coasts. In this study, we analyze the impact of the change in land cover under mangroves across India between 1997 and 2019 using the Google Earth Engine (GEE) platform and assess the biophysical indicators. The findings of our research reveal that the area covered by mangrove forests has expanded in the last two decades