Results 131 to 140 of about 2,290,802 (153)

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
europepmc   +1 more source

Global annual wetland dataset at 30 m with a fine classification system from 2000 to 2022. [PDF]

Sci Data
Zhang X, Liu L, Zhao T, Wang J, Liu W, Chen X.   +5 more
europepmc   +1 more source

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

An advanced TSMK-FVC approach combined with Landsat 5/8 imagery for assessing the long-term effects of terrain and climate on vegetation growth. [PDF]

Front Plant Sci
Xu Z, Shen X, Ge S, Sun Q, Yang Y, Cao L.   +5 more
europepmc   +1 more source

Monitoring deforestation, forest health, and environmental criticality in a protected area periphery using Geospatial Techniques. [PDF]

PeerJ
Withanage NC, Mishra PK, Abdelrahman K, Singh R.   +3 more
europepmc   +1 more source

Combining Sentinel-2 and diverse environmental data largely improved aboveground biomass estimation in China's boreal forests. [PDF]

Sci Rep
Liu P, Ren C, Yang X, Wang Z, Jia M, Zhao C, Yu W, Ren H.   +7 more
europepmc   +1 more source

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
europepmc   +1 more source

Tropical Forest Disturbance Monitoring Based on Multi-Source Time Series Satellite Images and the LandTrendr Algorithm

Forests, 2022
Monitoring disturbances in tropical forests is important for assessing disturbance-related greenhouse gas emissions and the ability of forests to sequester carbon, and for formulating strategies for sustainable forest management. Thanks to a long-term observation history, large spatial coverage, and support from powerful cloud platforms such as Google ...
Xiaowei Gu, Wu Zhixiang, Bangqian Chen   +2 more
exaly   +3 more sources

Long-Term Monitoring of Cropland Change near Dongting Lake, China, Using the LandTrendr Algorithm with Landsat Imagery [PDF]

Remote Sensing, 2019
Tracking cropland change and its spatiotemporal characteristics can provide a scientific basis for assessments of ecological restoration in reclamation areas. In 1998, an ecological restoration project (Converting Farmland to Lake) was launched in Dongting Lake, China, in which original lake areas reclaimed for cropland were converted back to lake or ...
Yibo Tang, Xiangnan Liu, Ling Wu
exaly   +5 more sources

Monitoring Mining Disturbance and Restoration over RBM Site in South Africa Using LandTrendr Algorithm and Landsat Data [PDF]

Sustainability, 2019
Considering the negative impact of mining on ecosystems in mining areas, the South African government legislated the Mineral and Petroleum Resources Development Act (No. 28 of 2002), to compel mining companies to restore the land affected by mining.
Lubanzi Dlamini, Sifiso Xulu
exaly   +4 more sources