A high-resolution canopy height model of the Earth

Lang, Nico; Jetz, Walter; Schindler, Konrad; Wegner, Jan Dirk

doi:10.48550/arxiv.2204.08322

Cited by 28 publications

(50 citation statements)

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“…These cells were first grouped into non-forest areas with a maximum tree cover of 10% and 25% from our map, two widely used forest definition thresholds [4,16]. Then, if canopy cover exceeded 25%, we considered the cell to be a forest, which we further grouped into different canopy heights using a spaceborne LiDAR based map from a previous study [17]. Note that our results are not constrained by these definitions and, given the level of detail in the mapping, full flexibility exists for selecting thresholds and resolutions to apply, or to use different canopy height maps [18] (Supplementary Fig.…”

Section: Results a Very High-resolution Map Of African Tree Covermentioning

confidence: 99%

“…a, Total tree cover area by rainfall. Tree cover is classified into forest at different heights [17], and into two groups of trees outside forest (TOF) with canopy cover <10% and 10-25%, respectively. A current state-ofthe-art global map is added for comparison [11].…”

Section: Results a Very High-resolution Map Of African Tree Covermentioning

confidence: 99%

“…7 | Tree cover by rainfall, grouped by canopy height. a, Using canopy height from Lang et al [17], b, using canopy height from Potapov et al [18]. Supplementary Fig.…”

Section: Competing Interestsmentioning

confidence: 99%

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More than one quarter of Africa's tree cover found outside areas previously classified as forest

Reiner

Brandt

Tong

et al. 2022

Preprint

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The consistent monitoring of trees both inside and outside of forests is key to mitigating climate change. Current monitoring systems either ignore trees outside forests or are too expensive to be applied consistently across countries on a repeated basis. Here we make use of the PlanetScope nanosatellite constellation, which delivers global very high-resolution daily imagery, to map both forest and non-forest tree cover for continental Africa using images from a single year. Our prototype map of 2019 demonstrates that a precise assessment of all tree-based systems is possible at continental scale, and reveals that 29% of tree cover is found outside areas previously classified as tree cover, such as in croplands and grassland. Such accurate mapping of tree cover at metric resolution down to the level of individual trees and consistent among countries has the potential to redefine land use impacts, move beyond the need for forest definitions, build the basis for natural climate solutions, and provide a new scientific basis for tree related studies.

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Section: Results a Very High-resolution Map Of African Tree Covermentioning

confidence: 99%

Section: Results a Very High-resolution Map Of African Tree Covermentioning

confidence: 99%

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More than one quarter of Africa's tree cover found outside areas previously classified as forest

Reiner

Brandt

Tong

et al. 2022

Preprint

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“…For example, a short shrubland tundra environment is a fundamentally different ecosystem from a tall one and this influences a vast array of biotic and abiotic processes (Walker et al, 2005). With updates of more multi-source Earth observation data (e.g., vegetation height (Lang et al, 2022)), building a hierarchical Arctic land cover class scheme is becoming a possible topic, which is worthy of exploration in the future.…”

Section: Methodological and Scientific Implicationsmentioning

confidence: 99%

CALC-2020: a new baseline land cover map at 10 m resolution for the circumpolar Arctic

Liu

Feng

et al. 2022

Preprint

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Abstract. The entire Arctic is rapidly warming, which brings in a multitude of environmental consequences far beyond the northern high-latitude limits. Land cover maps offer biophysical insights into the terrestrial environment and are therefore essential for understanding the transforming Arctic in the context of anthropogenic activity and climate change. Satellite remote sensing has revolutionized our ability to capture land cover information over large areas. However, circumpolar Arctic-scale fine resolution land cover mapping has been so far lacking. Here, we utilize a combination of multimode satellite observations and topographic data at 10 m resolution to provide a new baseline land cover product (CALC-2020) across the entire terrestrial Arctic for circa 2020. Accuracy assessments suggest that the CALC-2020 product exhibits satisfactory performances, with overall accuracies of 79.63 % and 67.27 %, respectively, at validation sample locations and field/flux tower sites. The derived land cover map also displays reasonable agreement with three pre-existing global products, meanwhile depicting much more subtle polar biome patterns. Based on the CALC-2020 dataset, we show that over half of the Arctic landmass is covered by graminoid tundra or lichen/moss. Spatially, the land cover distribution exhibits regional dominance, reflecting the complex suite of both biotic and abiotic processes that jointly determine the Arctic landscape. The CALC-2020 product we developed can be used to improve earth system modelling, and benefit the ongoing efforts on sustainable Arctic land management by public and non-governmental sectors. The CALC-2020 land cover product is freely available on Science Data Bank: http://cstr.cn/31253.11.sciencedb.01869 (Xu et al., 2022a).

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“…ACM [[Abstract: "environmental"] OR [Abstract: "land cover"] OR [Abstract: "land-cover"]] AND [[Title: "machine learning"] OR [Title: "data mining"]] IEEE Xplore ("Abstract":"environmental"OR "Abstract":"land cover"OR "Abstract":"land-cover") AND ("Document Title":"machine learning"OR "Document Title":"data mining") em alta resoluc ¸ão da altura da vegetac ¸ão, que pode ser utilizado para mapeamento de desmatamento [Lang et al 2022], o que ressalta a importância do uso dessas técnicas para a proposic ¸ão de abordagens computacionais que sejam úteis para resoluc ¸ão de problemas que afetam a sociedade atual.…”

Section: Baseunclassified

Técnicas de Mineração de Dados e Aprendizado de Máquina Aplicadas a Dados Ambientais de Uso e Cobertura de Solo

Schaefer

Brumatti²,

Veloso³

et al. 2022

Anais Do XXXVII Simpósio Brasileiro De Banco De Dados (SBBD 2022)

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A high-resolution canopy height model of the Earth

Cited by 28 publications

References 0 publications

More than one quarter of Africa's tree cover found outside areas previously classified as forest

More than one quarter of Africa's tree cover found outside areas previously classified as forest

CALC-2020: a new baseline land cover map at 10 m resolution for the circumpolar Arctic

Técnicas de Mineração de Dados e Aprendizado de Máquina Aplicadas a Dados Ambientais de Uso e Cobertura de Solo

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