Land Use and Land Cover Change of Ghana

被引：2

作者：

Hou, Ankai ^{[1
,2
,3
,4
,5
,6
]}

Samuel, Abrado Blankson ^{[1
]}

Li, Mujie ^{[1
]}

Zheng, Zezhong ^{[1
,2
,3
,4
,5
,6
,7
]}

Xia, Jun ^{[1
,2
,3
]}

Zhang, Xiang ^{[2
,3
]}

Zhou, Guoqing ^{[7
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Sichuan, Peoples R China

[2] Wuhan Univ, Hubei Prov Key Lab Water Syst Sci Sponge City Con, Wuhan 430072, Hubei, Peoples R China

[3] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan, Hubei, Peoples R China

[4] Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen 518040, Guangdong, Peoples R China

[5] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

[6] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China

[7] Guilin Univ Technol, Guangxi Key Lab Spatial Infoimat & Geomat, Guilin 541004, Guangxi, Peoples R China

来源：

IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年

关键词：

LUCC; TM; OLI; Supervised classification; Ghana;

D O I：

10.1109/IGARSS39084.2020.9323303

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Land use and cover change (LUCC) is a central component in current strategies for managing natural resources and monitoring environmental change. In this paper, we used maximum likelihood classification algorithm to obtain the supervised land use and cover classification. Four major land use and cover classes are identified and mapped from 2000 to 2015. The changes of land use and cover using Landsat images of the study area were analyzed. The results showed that: From 2005 to 2015, closed forest has increased and the annual rate of change was (+)3.3%. Open forest has an annual rate of change of (+)1.21%. Water bodies had an annual rate of change of (+)0.81%. While the settlements and bare lands had a decrease of 52.93 km(2) and the annual rate of change was (-)5.3%.

引用

页码：4279 / 4282

页数：4

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