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

Article


Pham, Thy T. M., Nguyen, The-Duoc, Tham, Han T. N., Truong, Thi Nhat Kieu, Lam-Dao, Nguyen and Nguyen-Huy, Thong. 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), pp. 1-21. https://doi.org/10.1117/1.JRS.15.024503
Article Title

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

ERA Journal ID39708
Article CategoryArticle
AuthorsPham, Thy T. M. (Author), Nguyen, The-Duoc (Author), Tham, Han T. N. (Author), Truong, Thi Nhat Kieu (Author), Lam-Dao, Nguyen (Author) and Nguyen-Huy, Thong (Author)
Journal TitleJournal of Applied Remote Sensing
Journal Citation15 (2), pp. 1-21
Article Number024503
Number of Pages21
Year2021
Place of PublicationUnited States
ISSN1931-3195
Digital Object Identifier (DOI)https://doi.org/10.1117/1.JRS.15.024503
Web Address (URL)https://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing/volume-15/issue-02/024503/Specifying-the-relationship-between-land-use-land-cover-change-and/10.1117/1.JRS.15.024503.full
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.

Keywordsland use/land cover change; temperature; vegetation dryness index; Ba river basin; land surface temperature; Google Earth engine
ANZSRC Field of Research 2020370299. Climate change science not elsewhere classified
401304. Photogrammetry and remote sensing
Byline AffiliationsVietnam National Space Center, Vietnam
Vietnam National University, Vietnam
Centre for Applied Climate Sciences
Institution of OriginUniversity of Southern Queensland
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