High-resolution planet satellite imagery and multi-temporal surveys to predict risk of tree mortality in tropical eucalypt forestry

High-resolution planet satellite imagery and multi-temporal surveys to predict risk of tree mortality in tropical eucalypt forestry

8 Pág. Centro de Investigación Forestal (CIFOR)

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Bibliographic Details
Main Authors: Pascual, Adrián, Tupinambá-Simões, Frederico, Guerra-Hernández, Juan, Bravo, Felipe
Other Authors: Pascual, Adrián [0000-0002-2957-7810]
Format: artículo biblioteca
Language:English
Published: Elsevier 2022-02-28
Subjects:Forest monitoring, Imaging spectroscopy, Planet dove, Remote sensing, Tropical forestry,
Online Access:http://hdl.handle.net/10261/279924
https://api.elsevier.com/content/abstract/scopus_id/85125377503
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spelling dig-inia-es-10261-2799242024-10-26T20:45:13Z High-resolution planet satellite imagery and multi-temporal surveys to predict risk of tree mortality in tropical eucalypt forestry Pascual, Adrián Tupinambá-Simões, Frederico Guerra-Hernández, Juan Bravo, Felipe Pascual, Adrián [0000-0002-2957-7810] Tupinambá-Simões, Frederico [0000-0002-4634-5341] Guerra-Hernández, Juan [0000-0003-3518-2978] Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] Forest monitoring Imaging spectroscopy Planet dove Remote sensing Tropical forestry 8 Pág. Centro de Investigación Forestal (CIFOR) Global high-resolution imagery is a well-assimilated technology in forest mapping. The release of the Norway's International Climate & Forests Initiative (NICFI) Planet tropical basemaps time-series starting in 2015 at a 4.77-m resolution represents a unique opportunity to forecast climate change consequences such as drought episodes. Using multi-temporal ground surveys over 144 plots and publicly available high-resolution Planet dove time-series imagery we evaluate forest mortality patterns driven by imaging spectroscopy methods in Mato Grosso (Brazil) over an area planted with eucalypts severely affected by the 2019 drought. Changes in vegetation indexes before and after the 2019 drought were modelled using the effective logistic regression modelling to explain variation in tree mortality between the surveys, the dependent variable. We aimed to straightforwardly model tree mortality using change vectors in Planet's image mosaics co-registering in time with the observed tree mortality measurements in the field. The results showed differences in Normalized Difference Vegetation Index (NDVI) as the most significant predictor variable under the effective logistic regression modelling performed. The efficacy of 80.98% in concordance pairs correctly classified represented 0.81 of area under the Receiver Operating Curve (ROC). The release of the 2015-2020 Planet imagery in the tropics at 4.77-m resolution represents a valuable dataset to better understand previous natural disturbances and a powerful technology to detect in advance, and monthly after September 2020, eucalypt areas prone to harmful and increasingly frequent water-stress episodes. Peer reviewed 2022-09-27T08:36:04Z 2022-09-27T08:36:04Z 2022-02-28 artículo http://purl.org/coar/resource_type/c_6501 Journal of Environmental Management 310: 11480 (2022) 0301-4797 http://hdl.handle.net/10261/279924 10.1016/j.jenvman.2022.114804 35240567 2-s2.0-85125377503 https://api.elsevier.com/content/abstract/scopus_id/85125377503 en Journal of environmental management Publisher's version https://doi.org/10.1016/j.jenvman.2022.114804 Sí open Elsevier
institution INIA ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-inia-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del INIA España
language English
topic Forest monitoring
Imaging spectroscopy
Planet dove
Remote sensing
Tropical forestry
Forest monitoring
Imaging spectroscopy
Planet dove
Remote sensing
Tropical forestry
spellingShingle Forest monitoring
Imaging spectroscopy
Planet dove
Remote sensing
Tropical forestry
Forest monitoring
Imaging spectroscopy
Planet dove
Remote sensing
Tropical forestry
Pascual, Adrián
Tupinambá-Simões, Frederico
Guerra-Hernández, Juan
Bravo, Felipe
High-resolution planet satellite imagery and multi-temporal surveys to predict risk of tree mortality in tropical eucalypt forestry
description 8 Pág. Centro de Investigación Forestal (CIFOR)
author2 Pascual, Adrián [0000-0002-2957-7810]
author_facet Pascual, Adrián [0000-0002-2957-7810]
Pascual, Adrián
Tupinambá-Simões, Frederico
Guerra-Hernández, Juan
Bravo, Felipe
format artículo
topic_facet Forest monitoring
Imaging spectroscopy
Planet dove
Remote sensing
Tropical forestry
author Pascual, Adrián
Tupinambá-Simões, Frederico
Guerra-Hernández, Juan
Bravo, Felipe
author_sort Pascual, Adrián
title High-resolution planet satellite imagery and multi-temporal surveys to predict risk of tree mortality in tropical eucalypt forestry
title_short High-resolution planet satellite imagery and multi-temporal surveys to predict risk of tree mortality in tropical eucalypt forestry
title_full High-resolution planet satellite imagery and multi-temporal surveys to predict risk of tree mortality in tropical eucalypt forestry
title_fullStr High-resolution planet satellite imagery and multi-temporal surveys to predict risk of tree mortality in tropical eucalypt forestry
title_full_unstemmed High-resolution planet satellite imagery and multi-temporal surveys to predict risk of tree mortality in tropical eucalypt forestry
title_sort high-resolution planet satellite imagery and multi-temporal surveys to predict risk of tree mortality in tropical eucalypt forestry
publisher Elsevier
publishDate 2022-02-28
url http://hdl.handle.net/10261/279924
https://api.elsevier.com/content/abstract/scopus_id/85125377503
work_keys_str_mv AT pascualadrian highresolutionplanetsatelliteimageryandmultitemporalsurveystopredictriskoftreemortalityintropicaleucalyptforestry
AT tupinambasimoesfrederico highresolutionplanetsatelliteimageryandmultitemporalsurveystopredictriskoftreemortalityintropicaleucalyptforestry
AT guerrahernandezjuan highresolutionplanetsatelliteimageryandmultitemporalsurveystopredictriskoftreemortalityintropicaleucalyptforestry
AT bravofelipe highresolutionplanetsatelliteimageryandmultitemporalsurveystopredictriskoftreemortalityintropicaleucalyptforestry
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