典型高原湖滨湿地植被高光谱遥感反演及时空演变过程

Plateau lakeshore wetland is one of the research hotspots in the field of wetland science. The vegetation in plateau lakeshore wetland plays an important ecological function. Meanwhile, the plateau wetland ecosystem is fragile. In the past 20 years, the increasing human activity and the interference of natural factors caused the destruction of ecosystem and the loss of wetland resources. It would have important significance to accurately monitor the quantity, quality and spatial distribution characteristics of the vegetation in plateau lakeshore wetland, and to analyze its causes, process and driving factors of dynamic evolution. It would provide scientific basis for effective protection and restoration of the plateau wetland ecosystem. However, there are two challenges in this field, including a) lack of long time series fixed observation data during the analysis of evolution process, b) lack of appropriate retrieval methods based on remote sensing. The typical wetland in Yunnan province, southwestern China, is taken as cases study. The research will be carried out in the following aspects: a) Hyperspectral remote sensing modeling of major dominant species patches in typical plateau lakeshore wetland. b) Vegetation information extraction and spatial distribution characteristic analysis on different spatial scales. c) Remote sensing estimation of main physical and chemical parameters including the total N content, the total P content, the chlorophyll content, the leaf area index and biomass in aboveground of major dominant species and dynamic evolution analysis in recent 20 years. d) Driving mechanism analysis of dynamic evolution and impact degree ranking. The modeling of major dominant species and main physical and chemical parameters will be focused on developing based on hyperspectral remote sensing. The evolution of vegetation in typical plateau lakeshore wetland will be analyzed on different temporal and spatial scales. On the time scales, different periods of hyperspectral remote sensing data will be used. On the spatial scales, the spatial distribution of vegetation in typical plateau lakeshore wetland will be calculated on the scale of species, population, community and ecosystem. It is believed that the findings and the approach proposed in this study will provide more interesting and useful hints to support effective monitoring, evolution analysis and quantitative evaluation.

准确获取高原湖滨湿地植被的数量、质量和空间分布，分析其动态演变的成因和过程，能够为有效保护和恢复高原湖滨湿地生态系统提供科学依据。该领域的研究目前仍存在2方面挑战：缺乏长时间序列固定观测数据分析演变过程和适宜的湖滨湿地植被遥感反演方法。本研究选取滇西北典型高原湖滨湿地为研究区，分别从（1）高原湖滨湿地主要优势种高光谱遥感反演模型的构建，（2）植被信息获取及不同空间尺度的空间分布特征分析，（3）各优势种主要理化参数（包括叶片氮磷含量、叶绿素含量、叶面积指数和地上生物量）的遥感估算及近20年演变过程分析和（4）演变驱动机制分析及影响程度排序等方面开展研究，重点研建典型高原湖滨湿地主要优势种高光谱遥感反演模型和主要理化参数高光谱遥感估算模型，在不同时间和空间尺度分析典型高原湖滨湿地植被的演变过程，旨在为今后高原湖滨湿地植被的宏观监测、演变分析和定量评价提供方法借鉴和技术支持。

准确获取高原湖滨湿地植被的数量、质量和空间分布，分析其动态演变的成因、过程和驱动因素，能够为有效保护和恢复高原湖滨湿地生态系统提供科学依据。本项目选取滇西北纳帕海和剑湖高原湖滨湿地为典型研究区，分别从高原湖滨湿地主要优势种高光谱遥感分类方法、高原湖滨湿地主要优势种高光谱遥感反演模型的构建、各优势种主要理化参数的遥感估算等方面开展研究，重点研建了典型高原湖滨湿地主要优势种高光谱遥感反演模型和理化参数高光谱遥感估测模型，旨在为今后高原湖滨湿地植被的宏观监测、演变分析和定量评价提供方法借鉴和技术支持。