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

2021 ◽  
Author(s):  
Chunqiu Ren ◽  
Bin Dong ◽  
Ping Wang ◽  
Lei Fang ◽  
Xiang Gao ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Use Change ◽  
Paddy Field ◽  
Poyang Lake ◽  
Driving Factors ◽  
Land Resource ◽  
Wetland Protection ◽  
Dry Land ◽  
Construction Land

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.

scholarly journals Study of Land Use Change from 1997 To 2014 Using Landsat Data In Bangli Regency

2018 ◽  
Vol 2 (2) ◽  
pp. 89
Author(s):  
Nuranita Naningsi ◽  
Takahiro Osawa ◽  
I Nyoman Merit
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Fresh Water ◽  
Paddy Field ◽  
Rapid Development ◽  
Landsat 8 ◽  
Landsat Data ◽  
Data Set ◽  
Dry Land ◽  
Bare Land

Bangli Regency is one of Regency in the Bali Province. The total area of  Bangli Regency is 52,081 hectares (9.24%) of total area of Bali Province (563,666 ha). The Growth and the development of the region Bangli Regency the positive impacts on the economy of the community, and the negative impacts on the environment. Land use change is one of the negative issue of development Bangli Regency. This study conduted the calculation of land use change from 1997 to 2014 using Landsat data in Bangli Regency. Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI/TIRS imageries were used to determine the land use map based, on using supervised classification method. The field data set the nine classes were classtuded based, on the classification were fresh water, bare land, forest, residential, bushes, irrigated paddy field, non irrigated paddy field, dry land and plantation. There results showed in land use changes from 1997 to 2014 that plantation increased (19,486.33 ha (36.89%)), and residential increased (1,872.00 ha (3.47%)), there is also a vast to reduction in dry land  (-10,868.90 ha (-21.21%)), forest (-6,333.34 ha (-12.24%)), irrigated paddy field (-1,619.50 ha (-3.17%)), bushes (-1,637.30 ha (-3.27%)), bare land (-63.00 ha (-0.17%)), non irrigated paddy field (-113.59 ha ( -0.26%)) and fresh water (-2.70 ha (-0.05%). The results accuracy rate was 89.45%. Anslyse of land use showed that the significant decrease of plantation area in Bangli Regency hill due to rapid development of infrastrusture of tourism and extensive residential area has increased particularly in sub district of the Kintamani District.

Remote sensing analysis of land use change and its driving factors in the northeastern Qinghai province, China

2005 ◽  
Author(s):  
Xiaohong Gao ◽  
Yingzhi Guo ◽  
Yanli Wang ◽  
Yimou Wang ◽  
Lidong Ma
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Use Change ◽  
Driving Factors ◽  
Qinghai Province

Monitoring land use change in the Lake Taupo catchment between 1975, 1990 and 2002 using satellite remote sensing data

2007 ◽  
pp. 17-22
Author(s):  
H. Lilienthal ◽  
A. Brauer ◽  
K. Betteridge ◽  
E. Schnug
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Satellite Remote Sensing ◽  
Remote Sensing Data ◽  
Native Vegetation ◽  
Lake Water Quality ◽  
Livestock Farming ◽  
Slow Decline

Conversion of native vegetation into farmed grassland in the Lake Taupo catchment commenced in the late 1950s. The lake's iconic value is being threatened by the slow decline in lake water quality that has become apparent since the 1970s. Keywords: satellite remote sensing, nitrate leaching, land use change, livestock farming, land management

Integrating remote sensing and machine learning into environmental monitoring and assessment of land use change

2021 ◽  
Vol 27 ◽  
pp. 1239-1254
Author(s):  
Hong Anh Thi Nguyen ◽  
Tip Sophea ◽  
Shabbir H. Gheewala ◽  
Rawee Rattanakom ◽  
Thanita Areerob ◽  
...  
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Land Use ◽  
Land Use Change ◽  
Environmental Monitoring

scholarly journals Spatial-Temporal Change of Land Use and Its Impact on Water Quality of East-Liao River Basin from 2000 to 2020

Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1955
Author(s):  
Mingxi Zhang ◽  
Guangzhi Rong ◽  
Aru Han ◽  
Dao Riao ◽  
Xingpeng Liu ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Point Source ◽  
Water Body ◽  
Forest Land ◽  
Point Source Pollution ◽  
Construction Land ◽  
Unused Land ◽  
Non Point Source Pollution

Land use change is an important driving force factor affecting the river water environment and directly affecting water quality. To analyze the impact of land use change on water quality change, this study first analyzed the land use change index of the study area. Then, the study area was divided into three subzones based on surface runoff. The relationship between the characteristics of land use change and the water quality grade was obtained by grey correlation analysis. The results showed that the land use types changed significantly in the study area since 2000, and water body and forest land were the two land types with the most significant changes. The transfer rate is cultivated field > forest land > construction land > grassland > unused land > water body. The entropy value of land use information is represented as Area I > Area III > Area II. The shift range of gravity center is forest land > grassland > water body > unused land > construction land > cultivated field. There is a strong correlation between land use change index and water quality, which can be improved and managed by changing the land use type. It is necessary to establish ecological protection areas or functional areas in Area I, artificial lawns or plantations shall be built in the river around the water body to intercept pollutants from non-point source pollution in Area II, and scientific and rational farming in the lower reaches of rivers can reduce non-point source pollution caused by farming.

scholarly journals Effects of Contemporary Land Use Types and Conversions from Wetland to Paddy Field or Dry Land on Soil Organic Carbon Fractions

2020 ◽  
Vol 12 (5) ◽  
pp. 2094
Author(s):  
Di Zhao ◽  
Junyu Dong ◽  
Shuping Ji ◽  
Miansong Huang ◽  
Quan Quan ◽  
...  
Keyword(s):  
Land Use ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Constructed Wetland ◽  
Paddy Field ◽  
Heavy Fraction ◽  
Light Fraction ◽  
Paddy Fields ◽  
Dry Land ◽  
Natural Wetlands

Soil organic carbon (SOC) concentration is closely related to soil quality and climate change. The objectives of this study were to estimate the effects of contemporary land use on SOC concentrations at 0–20 cm depths, and to investigate the dynamics of SOC in paddy-field soil and dry-land soil after their conversion from natural wetlands (20 and 30 years ago). We investigated the dissolved organic carbon (DOC), light fraction organic carbon (LFOC), heavy fraction organic carbon (HFOC), and other soil properties (i.e., moisture content, bulk density, pH, clay, sand, silt, available phosphorous, light fraction nitrogen, and heavy fraction nitrogen) in natural wetlands, constructed wetlands, fishponds, paddy fields, and soybean fields. The results indicated that the content of DOC increased 17% in constructed wetland and decreased 39% in fishponds, and the content of HFOC in constructed wetland and fishponds increased 50% and 8%, respectively, compared with that in natural wetlands at 0–20 cm. After the conversion of a wetland, the content of HFOC increased 72% in the paddy fields and decreased 62% in the dry land, while the content of DOC and LFOC decreased in both types. In the paddy fields, LFOC and HFOC content in the topmost 0.2 m of the soil layer was significantly higher compared to the layer below (from 0.2 to 0.6 m), and there were no significant differences observed in the dry land. The findings suggest that the paddy fields can sequester organic carbon through the accumulation of HFOC. However, the HFOC content decreased 22% after 10 years of cultivation with the decrease of clay content, indicating that paddy fields need to favor clay accumulation for the purpose of enhancing carbon sequestration in the paddy fields.

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