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The Study Of Land Cover Change Using Change Vector Approach Integrated With Unsupervised Classification Method: A Case In Duy Tien (Vietnam)

https://doi.org/10.24057/2071-9388-2019-62

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Abstract

Investigating information on land cover changes is an indispensable task in studies related to the variation of the environment. Land cover changes can be monitored using multi-temporal satellite images at different scales. The commonly used method is the post-classification change detection which can figure out the replacement of a land cover by the others. However, the magnitude and dimension of the changes are not been always exploited. This study employs the mixture of categorical and radiometric change methods to investigate the relations between land cover classes and the change magnitude, the change direction of land covers. Applying the Change Vector Analysis (CVA) method and unsupervised classification for two Landsat images acquired at the same day of years in 2000 and in 2017 in Duy Tien district, the experimental results show that a low magnitude of change occurs in the largest area of direction I and direction IV regarding the increase of Normalized Difference Vegetation Index (NDVI), but the opposite trend of (Bare soil Index) BI in the rice field. Alternately, the high magnitude of change is seen in the build-up class which occupies the smallest area with 1700 ha. The characterized changes produced by the CVA method provide a picture of change dynamics of land cover over the period of 2000-2017 in the study area.

About the Authors

Si Son Tong
University of Science and Technology Ha Noi, Vietnam Academy of Science and Technology
Viet Nam
18 Hoang Quoc Viet 100000, Hanoi


Thi Lan Pham
Hanoi University of Mining and Geology
Viet Nam
18 Pho Vien, Bac Tu Liem, Hanoi


Quoc Long Nguyen
Hanoi University of Mining and Geology
Viet Nam
18 Pho Vien, Bac Tu Liem, Hanoi


Thi Thu Ha Le
Hanoi University of Mining and Geology
Viet Nam
18 Pho Vien, Bac Tu Liem, Hanoi


Le Hung Trinh
Le Quy Don Technical University
Viet Nam
236 Hoang Quoc Viet 100000, Hanoi


Xuan Cuong Cao
Hanoi University of Mining and Geology
Viet Nam
18 Pho Vien, Bac Tu Liem, Hanoi


Adeel Ahmad
University of the Punjab
Pakistan
Lahore, 54590


Thi Huyen Ai Tong
Space Technology Institute, Vietnam Academy of Science and Technology
Viet Nam
18 Hoang Quoc Viet 100000, Hanoi


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For citation:


Tong S., Pham T., Nguyen Q., Le T., Trinh L., Cao X., Ahmad A., Tong T. The Study Of Land Cover Change Using Change Vector Approach Integrated With Unsupervised Classification Method: A Case In Duy Tien (Vietnam). GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2020;13(2):175-184. https://doi.org/10.24057/2071-9388-2019-62

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ISSN 2071-9388 (Print)
ISSN 2542-1565 (Online)