Results 131 to 140 of about 358 (155)

Driving mechanisms of forest age and climate on carbon sinks in Xinjiang forests. [PDF]

Front Plant Sci
Zhai L, Zan M, Zhou J, Zhao Z, Ke J, Ye M, Yuan R, Zhao Y.   +7 more
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kNDVI reveals vegetation dynamics and hydro-edaphic controls in inner Mongolia (2000-2024). [PDF]

Sci Rep
Dong F, Qin F, Zhang T, Dong X, Wu Y, Guo Z.   +5 more
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Global impacts of transportation infrastructure on forest degradation and loss. [PDF]

Nat Commun
Zhou D, Xiao J, Liu S, Huang L, Zhang L, Fan J, Zhao S.   +6 more
europepmc   +1 more source

Elevational dynamics of vegetation changes in response to climate change on the Tibetan plateau. [PDF]

Sci Rep
Pu G, Han L, Chen L, Wan D, Teng H.
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Undisturbed forest canopies slow understory warming by one-third across Europe

Haesen S, Senf C, Seidl R, Lembrechts J, Lenoir J, De Frenne P, Aalto J, Christiansen DM, Greiser C, Kemppinen J, Klinges D, Kopecký M, Niittynen P, Nijs I, de Vondel SV, Bertrand R, Blandino C, Borg M, Brůna J, Bury S, Conradi T, Dahlgren J, Djukic I, Dyderski M, Ehrlen J, Hederová L, Heurich M, Hylander K, Kovács B, Luoto M, Macek M, Man M, Matula R, Merinero S, Meysman F, Plichta R, Rausch R, Rissanen T, Rita A, Römer G, Rossi S, Růžičková A, Saracino A, Saulino L, Spicher F, Tyystjärvi V, Vanneste T, Verdonck S, Weigel R, Wild J, Zehetner F, Zellweger F, Meerbeek KV.   +52 more
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Model linkage to assess forest disturbance impacts on water quality: A wildfire case study using LANDIS(II)-VELMA. [PDF]

Environ Model Softw
Venable K, Johnston JM, LeDuc SD, Prieto L.   +3 more
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Mapping of secondary forest age in China using stacked generalization and Landsat time series. [PDF]

Sci Data
Zhang S, Xu H, Liu A, Qi S, Hu B, Huang M, Luo J.   +6 more
europepmc   +1 more source

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A LandTrendr multispectral ensemble for forest disturbance detection

Remote Sensing of Environment, 2018
Abstract Monitoring and classifying forest disturbance using Landsat time series has improved greatly over the past decade, with many new algorithms taking advantage of the high-quality, cost free data in the archive. Much of the innovation has been focused on use of sophisticated workflows that consist of a logical sequence of processes and rules ...
Warren B. Cohen, Zhiqiang Yang, Sean P. Healey, Robert E. Kennedy, Noel Gorelick   +4 more
openaire   +1 more source

Predicting live and dead basal area from LandTrendr variables in beetle-affected forests

MultiTemp 2013: 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, 2013
Recent bark beetle outbreaks in western North America have been widespread and severe. Forest managers need accurate information on beetle-induced tree mortality to make better decisions on how best to remediate beetle-killed forests and restore healthy ecosystem services.
Andrew Thomas Hudak, Benjamin C. Bright, Robert E. Kennedy   +2 more
openaire   +1 more source

Reconstructing the Vegetation Disturbance History of a Biodiversity Hotspot in Central Chile Using Landsat, Bfast and Landtrendr

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Due to its isolated location, Chile's flora is characterized by a large number of endemic species which has guided the decision to assign central Chile the status of a global biodiversity hotspot. This biodiversity hotspot is, however, endangered by severe land-use changes occurring over the last few decades as well as by an increased number of ...
Julian Cabezas, Fabian Ewald Fassnacht
openaire   +1 more source