Publications

Wang, X; Wang, W; Zhong, MQ; Xu, XT (2023). Differential analysis of landscape patterns of land cover products in tropical marine climate zones - A case study in Malaysia. OPEN GEOSCIENCES, 15(1), 20220499.

Abstract
Land cover in tropical marine climate zones is important for global climate change. The existing analysis of land cover product consistency mainly focuses on a continental or national scale and rarely takes different geographical zones (such as tropical marine climate zones) as examples to carry out micro-interpretation from the perspective of ecology from the grid scale. In fact, some types of land cover under different zones have poor accuracy due to the standard of cognition and the complexity of the spatial pattern of ground objects. In addition, land cover and its change in tropical Marine climate zones will affect the greenhouse effect, energy balance, water transport, and so on, thus affecting climate change on a regional or even global scale. Therefore, this article presents an evaluation based on GLOBCOVER, CCI LC, and MCD12Q1 data using Malaysia as a case study, through area composition similarity, field sample point validation, and landscape indices. The results showed that (1) the area correlation coefficient between GLOBCOVER and CCI LC is the highest at 0.998. (2) The CCI LC had the highest OA and kappa coefficient of 59.01% and 0.4957, while the GLOBCOVER product had the lowest OA and kappa coefficient of 49.24% and 0.3614, respectively. (3) The consistency of the water landscape index is high between the CCI LC and GLOBCOVE data, the consistency of the artificial surfaces landscape index is high between the CCI LC and MCD12Q1 products, and the consistency of the grassland/shrubland landscape index is high between the GLOBCOVE and MCD12Q1 products. The results of microscopic landscape patterns show that the three product landscape patterns are generally more consistent in East Malaysia than in West Malaysia. The low accuracy of grassland, bareland, and shrubland is the key reason for the wide variation in landscape patterns between the three products.

DOI:
10.1515/geo-2022-0499

ISSN: