Vegetation Abundance and Health Mapping Over Southwestern Antarctica Based on WorldView-2 Data and a Modified Spectral Mixture Analysis

• Published in: Remote Sensing
• Main Authors: Sun, Xiaohui, Wu, Wenjin, Li, Xinwu, Xu, Xiyan, Li, Jinfeng
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI 2021
• Subjects: Antarctica; vegetation abundance; WorldView-2; spectral mixture analysis; moss health evaluation; Environmental Sciences; Geosciences; Multidisciplinary; Remote Sensing; Imaging Science & Photographic Technology; KING-GEORGE-ISLAND; TERRESTRIAL VEGETATION; BARTON PENINSULA; LICHEN FLORA; MOSS; COVER; STATION; GROWTH; SOILS; INDEX; Science Citation Index Expanded (SCI-EXPANDED); Antarctic; King George Island; Fildes; Barton; Fildes peninsula; Ardley; Ardley Island; Barton Peninsula; Antarc*
• Online Access: http://ir.ibcas.ac.cn/handle/2S10CLM1/26589; https://doi.org/10.3390/rs13020166

In polar regions, vegetation is especially sensitive to climate dynamics and thus can be used as an indicator of the global and regional environmental change. However, in Antarctica, there is very little information on vegetation distribution and growth status. To fill this gap, we evaluated the ability of both linear and nonlinear spectral mixture analysis (SMA) models, including a group of newly developed modified Nascimento's models for Antarctic vegetated areas (MNM-AVs), in estimating the abundance of major Antarctic vegetation types, i.e., mosses and lichens. The study was conducted using WorldView-2 satellite data and field measurements over the Fildes Peninsula and its surroundings, which are representative vegetated areas in Antarctica. In MNM-AVs, we introduced secondary scattering components for vegetation and its background to account for the sparsity of vegetation cover and reassigned their coefficients. The new models achieved improved performances, among which MNM-AV3 achieved the lowest error for mosses (lichens) abundance estimation with RMSE = 0.202 (0.213). Compared with MNM-AVs, the linear model performed particularly poor for lichens (RMSE = 0.322), which is in contrast to the case of mosses (RMSE = 0.212), demonstrating that spectral signals of lichens are more prone to mix with their backgrounds. Abundance maps of mosses and lichens, as well as a map of moss health status for the entire study area, were then obtained based on MNM-AV3 with around 80% overall accuracy. Moss areas account for 0.7695 km(2) in Fildes and 0.3259 km(2) in Ardley Island; unhealthy mosses amounted to 40% (49%) of the area in the summer of 2018 (2019), indicating considerable environmental stress.