干旱区生态环境知识资源中心(Arid): Fusing Sentinel-1 and-2 to Model GEDI-Derived Vegetation Structure Characteristics in GEE for the Paraguayan Chaco

Arid

DOI	10.3390/rs13245105
	Fusing Sentinel-1 and-2 to Model GEDI-Derived Vegetation Structure Characteristics in GEE for the Paraguayan Chaco
	Kacic, Patrick; Hirner, Andreas; Da Ponte, Emmanuel
通讯作者	Kacic, P (corresponding author)，Univ Freiburg, Fac Environm & Nat Resources, Tennenbacher Str 4, D-79106 Freiburg, Germany.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:24
英文摘要	Vegetation structure is a key component in assessing habitat quality for wildlife and carbon storage capacity of forests. Studies conducted at global scale demonstrate the increasing pressure of the agricultural frontier on tropical forest, endangering their continuity and biodiversity within. The Paraguayan Chaco has been identified as one of the regions with the highest rate of deforestation in South America. Uninterrupted deforestation activities over the last 30 years have resulted in the loss of 27% of its original cover. The present study focuses on the assessment of vegetation structure characteristics for the complete Paraguayan Chaco by fusing Sentinel-1, -2 and novel spaceborne Light Detection and Ranging (LiDAR) samples from the Global Ecosystem Dynamics Investigation (GEDI). The large study area (240,000 km(2)) calls for a workflow in the cloud computing environment of Google Earth Engine (GEE) which efficiently processes the multi-temporal and multi-sensor data sets for extrapolation in a tile-based random forest (RF) regression model. GEDI-derived attributes of vegetation structure are available since December 2019, opening novel research perspectives to assess vegetation structure composition in remote areas and at large-scale. Therefore, the combination of global mapping missions, such as Landsat and Sentinel, are predestined to be combined with GEDI data, in order to identify priority areas for nature conservation. Nevertheless, a comprehensive assessment of the vegetation structure of the Paraguayan Chaco has not been conducted yet. For that reason, the present methodology was developed to generate the first high-resolution maps (10 m) of canopy height, total canopy cover, Plant-Area-Index and Foliage-Height-Diversity-Index. The complex ecosystems of the Paraguayan Chaco ranging from arid to humid climates can be described by canopy height values from 1.8 to 17.6 m and canopy covers from sparse to dense (total canopy cover: 0 to 78.1%). Model accuracy according to median R-2 amounts to 64.0% for canopy height, 61.4% for total canopy cover, 50.6% for Plant-Area-Index and 48.0% for Foliage-Height-Diversity-Index. The generated maps of vegetation structure should promote environmental-sound land use and conservation strategies in the Paraguayan Chaco, to meet the challenges of expanding agricultural fields and increasing demand of cattle ranching products, which are dominant drivers of tropical forest loss.
英文关键词	Google Earth Engine Global Ecosystem Dynamics Investigation Sentinel-1 Sentinel-2 Paraguayan Chaco vegetation structure modelling random forest regression
类型	Article
语种	英语
开放获取类型	Green Published, Green Accepted
收录类别	SCI-E
WOS记录号	WOS:000737480700001
WOS关键词	GREENHOUSE-GAS EMISSIONS ; RED-EDGE BANDS ; RANDOM FOREST ; LAND ; INDEX ; DEFORESTATION ; LIDAR
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/375770
作者单位	[Kacic, Patrick] Univ Freiburg, Fac Environm & Nat Resources, Tennenbacher Str 4, D-79106 Freiburg, Germany; [Hirner, Andreas; Da Ponte, Emmanuel] German Aerosp Ctr DLR, German Remote Sensing Data Ctr DFD, Munchener Str 20, D-82234 Wessling, Germany
推荐引用方式 GB/T 7714	Kacic, Patrick,Hirner, Andreas,Da Ponte, Emmanuel. Fusing Sentinel-1 and-2 to Model GEDI-Derived Vegetation Structure Characteristics in GEE for the Paraguayan Chaco[J],2021,13(24).
APA	Kacic, Patrick,Hirner, Andreas,&Da Ponte, Emmanuel.(2021).Fusing Sentinel-1 and-2 to Model GEDI-Derived Vegetation Structure Characteristics in GEE for the Paraguayan Chaco.REMOTE SENSING,13(24).
MLA	Kacic, Patrick,et al."Fusing Sentinel-1 and-2 to Model GEDI-Derived Vegetation Structure Characteristics in GEE for the Paraguayan Chaco".REMOTE SENSING 13.24(2021).