Preprints
https://doi.org/10.5194/essd-2022-379
https://doi.org/10.5194/essd-2022-379
 
02 Jan 2023
02 Jan 2023
Status: this preprint is currently under review for the journal ESSD.

Annual forest and evergreen forest cover maps in the Brazilian Amazon in terms of FAO's forest definition

Yuanwei Qin1, Xiangming Xiao1, Hao Tang2, Ralph Dubayah3, Russell Doughty4, Diyou Liu5, Fang Liu1, Yosio Shimabukuro6, Egidio Arai6, Xinxin Wang7, and Berrien Moore III4 Yuanwei Qin et al.
  • 1Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, USA
  • 2Department of Geography, National University of Singapore, 1 Arts Link, Kent Ridge, Singapore 117570
  • 3Department of Geographical Sciences, University of Maryland, College Park, MD, USA
  • 4College of Atmospheric and Geographic Sciences, University of Oklahoma, Norman, OK, 73019, USA
  • 5College of Land Science and Technology, China Agricultural University, Beijing 100083, China
  • 6Brazilian National Institute for Space Research, INPE, São José dos Campos, SP, Brazil
  • 7Coastal Ecosystems Research Station of the Yangtze River Estuary, Ministry of Education Key Laboratory of Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai 200438, China

Abstract. Many forest cover maps have been generated by using optical and/or microwave images and various forest definitions, but these forest cover maps have large discrepancies. Both forest definition and validation data used for accuracy assessment of forest cover maps are often considered as two of the major factors for the discrepancy among these forest cover maps. To date, few studies have assessed forest cover maps in terms of two biophysical parameters used in forest definition: (1) tree canopy height and (2) canopy coverage. We generated annual forest cover maps from 2007 to 2010 and evergreen forest cover maps from 2000 to 2021 in the Brazilian Amazon using the images from the Phased Array type L-band Synthetic Aperture Radar and Moderate Resolution Imaging Spectroradiometer, and the forest definition of the Food and Agriculture Organization (FAO) of the United Nations (>5-m tree height and >10 % canopy coverage). The canopy height and coverage datasets from the Geoscience Laser Altimeter System during 2003–2007 were used to assess annual forest cover maps from 2007 to 2010 and evergreen forest cover maps from 2003 to 2007, and the results show high accuracy of these forest and evergreen forest cover maps in the Brazilian Amazon.

Yuanwei Qin et al.

Status: open (until 27 Feb 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Yuanwei Qin et al.

Data sets

Annual PALSAR/MODIS forest and evergreen forest maps in the Brazilian Amazon Yuanwei Qin, Xiangming Xiao https://doi.org/10.6084/m9.figshare.21445590

Model code and software

Codes for forest and evergreen forest mapping in the Brazilian Amazon Yuanwei Qin, Xiangming Xiao https://doi.org/10.6084/m9.figshare.21445626

Yuanwei Qin et al.

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Short summary
Forest definition has two major biophysical parameters, i.e., tree canopy height and canopy coverage. However, few studies have assessed forest cover maps in terms of these two parameters at a large scale. Here, we assessed the annual forest cover maps in the Brazilian Amazon using 1.1 million footprints of canopy height and canopy coverage. Over 93 % of our forest cover maps are consistent with the FAO forest definition, showing the high accuracy of these forest cover maps.