Land-Use Change and Driving Force Analysis of Wetland in Poyang Lake Based on Remote Sensing

Abstract

As an important wetland in the world, Poyang Lake wetland is constantly changing its land use mode due to economic development and human activities, thus affecting the ecological environment of wetland.Landsat remote sensing images from 1986 to 2020 are utilized to obtain land use information data through supervised classification and interpretation. Combined with ENVI and ArcGIS software, five land use type maps are generated by taking 8 years or so as the interval period. Land use transfer matrix and land use dynamic attitude are adopted.This paper analyzes the wetland land use change in Poyang Lake and explores the driving factors of wetland land use change in Poyang Lake.The results show that the wetland land use types in Poyang Lake will change greatly from 1985 to 2020, and the change range of construction land, mudflat, paddy field and dry land is relatively large and shows an increasing trend.The area of water and grassland decreased on the whole, and the transferred area was large, which was mainly transferred to construction land, paddy field and dry land.The woodland area increased slowly, but the change range was not large from the perspective of dynamic attitude.The change of wetland area of reed flat decreased first and then increased, and the overall land use change was relatively gentle.According to the grey correlation analysis, the total population and annual precipitation are the main driving factors of land use change in Poyang Lake wetland.Through the above research, it provides important reference for wetland protection and land resource management of Poyang Lake.

Simulating Land-Use Changes and Predicting Maize Potential Yields in Northeast China for 2050

“…Quantitative prediction models were mainly used to predict the area of future land-use types. The principles were to use a mathematical method to calculate the results by putting the data into the formula, such as a Markov model [6][7][8], Logistic model [9][10][11], etc. Markov is a method to predict future land-use changes based on the quantities of land-use types and land-use transition matrix in two historical years.…”