High-resolution planet satellite imagery and multi-temporal surveys to predict risk of tree mortality in tropical eucalypt forestry. (15th May 2022)

• Record Type: Journal Article
• Authors: Pascual, Adrián; Tupinambá-Simões, Frederico; Guerra-Hernández, Juan; Bravo, Felipe
• Is Part Of: Journal of environmental management. Volume 310(2022)
• Publication Date: 2022-05-15
• Subjects: Forest monitoring -- Planet dove -- Tropical forestry -- Imaging spectroscopy -- Remote sensing; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2022.114804
• Languages: English
• ISSNs: 0301-4797

Abstract

Abstract: 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. Highlights: We model eucalypt probability of mortality using satellite imagery. Multi-temporal ground surveys calibrated the estimation. We applied logistic regression effectively (81% ROC). Wall-to-wall estimation of probability of mortality in eucalypt forestry. NICFI Planet tropical mosaics are integrated towards management needs.