Researches on mangrove forest monitoring methods based on multi-source remote sensing

Abstract

Mangrove forests are ecological communities growing in the intertidal zone of tropical and subtropical coastlines. Due to their high productivity, mangrove forests are essential to persistence of biodiversity along coastlines and have high carbon sequestration ability. In this article we review aspects of monitoring mangrove forests using recent multi-source remote sensing data. First, we reviewed studies on monitoring mangrove dynamics. By integrating object-based and pixel-based classification, high spatial resolution images were used to classify different mangrove species. Landsat images were then used to monitor the dynamics of mangrove forests and analyze factors driving them. Second, we reviewed studies measuring structural parameters of mangroves. Specifically, unmanned aerial vehicle multispectral data and ground-based Light Detection and Ranging (LiDAR) data were used to compute leaf area index of mangrove forests. Finally, we reviewed studies examining physiology and biochemistry parameters. These studies explored adaption of chlorophyll content in mangrove forests under different submergence conditions, whether the invasive species Spartina alterniflora affects the light use efficiency and changed the response of photochemical reflectance •综述• © 第 8 期 王乐等: 基于多源遥感的红树林监测 839 遥感专题 index (PRI) to LUE. Our review provides a useful reference for selecting appropriate analytical methods when extracting information of mangroves from remotely sensed data. We emphasize the effectiveness of remote sensing in studying mangrove spatiotemporal patterns, extracting structural parameters, monitoring biochemical parameters, thus aiding efforts to conserve mangrove ecosystems.

Evaluation of mangrove restoration effectiveness using remote sensing indices - a case study in Guangxi Shankou Mangrove National Natural Reserve, China

“…Zhu et al (2021) used the method of time series analysis using mangrove NDVI and combined it with land cover data to study the changes in mangrove growth in Qinglan Port, China (Zhu et al, 2021). However, at present, few studies have integrated the mangrove area and the vegetation index to evaluate the restoration effectiveness (Wang et al, 2018;Gilani et al, 2021).…”

Vegetation Horizontal Occlusion Index (VHOI) from TLS and UAV Image to Better Measure Mangrove LAI

“…The occlusion problem is even more severe in mangrove forests. Mangrove forests constitute important intertidal ecosystems [4,6,[27][28][29]. Mangrove trees often grow in high density and have complex root systems [30][31][32].…”