Specifying the relationship between land use/land cover change and dryness in central Vietnam from 2000 to 2019 using Google Earth Engine

Pham, Thy T. M. and Nguyen, The-Duoc and Tham, Han T. N. and Truong, Thi Nhat Kieu and Lam-Dao, Nguyen and Nguyen-Huy, Thong ORCID: https://orcid.org/0000-0002-2201-6666 (2021) Specifying the relationship between land use/land cover change and dryness in central Vietnam from 2000 to 2019 using Google Earth Engine. Journal of Applied Remote Sensing, 15 (2):024503. pp. 1-21.

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Abstract

Land use/land cover (LULC) change and climate change are thought to be closely related and mutually influential, especially in contexts where land is converted for urban expansion or agriculture. We represent a first attempt to specify the relationship between LULC change and dryness in a region of Vietnam that is profoundly affected by climate change. Using the temperature–vegetation dryness index (TVDI), we specified the relationships and changes underway in Vietnam’s Ba river basin, one of the largest river systems in the South Central Coast. Using Google Earth Engine, we extracted land use data from Landsat images and calculated TVDI values from Moderate Resolution Imaging Spectroradiometer (MODIS) data for 2000 to 2019. We found, first, that agricultural area and deforestation rose by 7.2% and 2.4% annually, respectively. These changes were driven by economic development, rising crop prices, illegal logging, wildfires, and emergence of new agricultural areas. Second, areas classified in the driest TVDI intervals (dry and very dry) occupied 57% of the basin in 2019, 70% of which was agricultural lands and 20% other (mainly urban and bare lands). These driest land categories expanded at an average rate of 0.08% to 0.1% per year. Moreover, 90% of areas classified as 'very wet' and 'wet' were forest. We observed a strong relationship between LULC change and TVDI. Climate change and LULC change thus appear to be propelling the basin’s climate toward increasing dryness, suggesting the need for policies to reduce the agricultural area and expand forests while developing more adaptive and sustainable livelihoods.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version deposited in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Applied Climate Sciences (1 Aug 2018 -)
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Applied Climate Sciences (1 Aug 2018 -)
Date Deposited: 20 Apr 2021 01:00
Last Modified: 27 Sep 2021 02:02
Uncontrolled Keywords: land use/land cover change; temperature; vegetation dryness index; Ba river basin; land surface temperature; Google Earth engine
Fields of Research (2008): 04 Earth Sciences > 0401 Atmospheric Sciences > 040199 Atmospheric Sciences not elsewhere classified
05 Environmental Sciences > 0502 Environmental Science and Management > 050204 Environmental Impact Assessment
04 Earth Sciences > 0499 Other Earth Sciences > 049999 Earth Sciences not elsewhere classified
05 Environmental Sciences > 0502 Environmental Science and Management > 050206 Environmental Monitoring
Fields of Research (2020): 37 EARTH SCIENCES > 3702 Climate change science > 370299 Climate change science not elsewhere classified
40 ENGINEERING > 4013 Geomatic engineering > 401304 Photogrammetry and remote sensing
Identification Number or DOI: https://doi.org/10.1117/1.JRS.15.024503
URI: http://eprints.usq.edu.au/id/eprint/41821

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