Challenges in Estimating Tropical Forest Canopy Height from Planet Dove Imagery

Autor: Ovidiu Csillik, Pramukta Kumar, Gregory P. Asner

Publikováno v: Remote Sensing, Vol 12, Iss 7, p 1160 (2020)

Monitoring tropical forests using spaceborne and airborne remote sensing capabilities is important for informing environmental policies and conservation actions. Developing large-scale machine learning estimation models of forest structure is instrum

Externí odkaz: https://doaj.org/article/b5da62b3a7534ce4bf2b8401a8ad4600

Challenges in Estimating Tropical Forest Canopy Height from Planet Dove Imagery

Autor: Pramukta Kumar, Ovidiu Csillik, Gregory P. Asner

Publikováno v: Remote Sensing 12 (2020) 7
Remote Sensing, 12(7)
Remote Sensing, Vol 12, Iss 1160, p 1160 (2020)
Remote Sensing; Volume 12; Issue 7; Pages: 1160

Monitoring tropical forests using spaceborne and airborne remote sensing capabilities is important for informing environmental policies and conservation actions. Developing large-scale machine learning estimation models of forest structure is instrum

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b49773f6d13139f8ef6881d6f79105ca
https://research.wur.nl/en/publications/challenges-in-estimating-tropical-forest-canopy-height-from-plane

Amélioration des estimations de biomasse en forêt tropicale : apport de la structure et de l’organisation spatiale des arbres de canopée

Autor: Ploton, Pierre

Publikováno v: Biodiversity and Ecology. AgroParisTech; Technische Universität (Dresde, Allemagne). Institut für Kartographie, 2017. English. ⟨NNT : 2017AGPT0005⟩

Tropical forests store more than half of the world’s forest carbon and are particularly threatened by deforestation and degradation processes, which together represent the second largest source of anthropogenic CO2 emissions. Consequently, tropical

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::aeb89cf491ba73defbd56c90014fffac
https://pastel.hal.science/tel-02903121/document

Improving tropical forest aboveground biomass estimations : insights from canopy trees structure and spatial organization

Autor: Ploton, Pierre

Publikováno v: Biodiversity and Ecology. AgroParisTech, 2017. English
Biodiversity and Ecology. AgroParisTech, 2017. English. ⟨NNT : ⟩
Biodiversity and Ecology. AgroParisTech; Technische Universität (Dresde, Allemagne). Institut für Kartographie, 2017. English. ⟨NNT : 2017AGPT0005⟩

Tropical forests store more than half of the world's forest carbon and are particularly threatened by deforestation and degradation processes, which together represent the second largest source of anthropogenic CO2 emissions. Consequently, tropical f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8af888449f654ce92fc4dd272228b8fd
https://tel.archives-ouvertes.fr/tel-01624428/file/Dissertation_PLOTON_v-APT_171017.pdf

Estimation of Above Ground Biomass Using Texture Metrics Derived from IRS Cartosat-1 Panchromatic Data in Evergreen Forests of Western Ghats, India

Autor: Gopalakrishnan Rajashekar, Chandra Shekhar Jha, R. Suraj Reddy, Raphel Pelissier, Pierre Couteron, Vinay Kumar Dadhwal

Publikováno v: Journal of the Indian Society of Remote Sensing
Journal of the Indian Society of Remote Sensing, Springer India, 2017, 45 (4), pp.657-665. ⟨10.1007/s12524-016-0630-1⟩
Journal of the Indian Society of Remote Sensing, 2017, 45 (4), pp.657-665. ⟨10.1007/s12524-016-0630-1⟩

International audience; Assessment of above ground forest biomass (AGB) is essential in carbon modelling studies to provide mitigation strategies as demonstrated by reducing emissions from deforestation and forest degradation. Several researchers hav

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9699e75bcbc3736770a2fac2779ef079
https://hal.umontpellier.fr/hal-02163960