Assessing the Magnitude of the Amazonian Forest Blowdowns and Post-Disturbance Recovery Using Landsat-8 and Time Series of PlanetScope Satellite Constellation Data

Author:

Ping Dazhou1,Dalagnol Ricardo123ORCID,Galvão Lênio Soares4ORCID,Nelson Bruce5,Wagner Fabien23,Schultz David M.6ORCID,Bispo Polyanna da C.1ORCID

Affiliation:

1. Department of Geography, School of Environment Education and Development (SEED), University of Manchester, Manchester M13 9PL, UK

2. Center for Tropical Research, Institute of the Environment and Sustainability, University of California Los Angeles (UCLA), Los Angeles, CA 90095, USA

3. NASA-Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA

4. Divisão de Observação da Terra e Geoinformática (DIOTG), Instituto Nacional de Pesquisas Espaciais (INPE), Caixa Postal 515, Av. Dos Astronautas, 1758, Bairro Jardim da Granja, São José dos Campos 12245-970, SP, Brazil

5. Environmental Dynamics Department, National Institute of Amazonian Research (INPA), Manaus 69067-375, AM, Brazil

6. Department of Earth and Environmental Sciences, University of Manchester, Manchester M13 9PL, UK

Abstract

Blowdown events are a major natural disturbance in the central Amazon Forest, but their impact and subsequent vegetation recovery have been poorly understood. This study aimed to track post-disturbance regeneration after blowdown events in the Amazon Forest. We analyzed 45 blowdown sites identified after September 2020 at Amazonas, Mato Grosso, and Colombia jurisdictions using Landsat-8 and PlanetScope NICFI satellite imagery. Non-photosynthetic vegetation (NPV), green vegetation (GV), and shade fractions were calculated for each image and sensor using spectral mixture analysis in Google Earth Engine. The results showed that PlanetScope NICFI data provided more regular and higher-spatial-resolution observations of blowdown areas than Landsat-8, allowing for more accurate characterization of post-disturbance vegetation recovery. Specifically, NICFI data indicated that just four months after the blowdown event, nearly half of ΔNPV, which represents the difference between the NPV after blowdown and the NPV before blowdown, had disappeared. ΔNPV and GV values recovered to pre-blowdown levels after approximately 15 months of regeneration. Our findings highlight that the precise timing of blowdown detection has huge implications on quantification of the magnitude of damage. Landsat data may miss important changes in signal due to the difficulty of obtaining regular monthly observations. These findings provide valuable insights into vegetation recovery dynamics following blowdown events.

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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