Top Tweets for #RemotelySensed
interested to know if #remotelysensed variables can serve as efficient #predictors of #biodiversitymeasures? Take a look at our approach on #speciesrichness of #butterfly on a #transhimalayan #landscape.
New article alert
Excited to share our scientific paper related to butterfly ecology from the Himalayas Nepal published in #Ecosphere. You may find full paper from the provided link below!!
https://t.co/JXg2jb0c4N
#lastestpaper
📢Comparison of Different #RemotelySensed Data Sources for Detection of Presence of Standing Dead Trees Using a #Tree-Based Approach by Marie-Claude Jutras-Perreault, Terje Gobakken, Erik Næsset and Hans Ole Ørka
👉Read the full article: https://t.co/Ttc5YUIDBU
Congratulations to Bibhasvata (not in twitter) for successfully defending his #PhDone thesis online @iiserkol. Made significant contributions with #machinelearning @stableisotopes and #remotelysensed data #organicgeochemistry in #cryosphere #biosphere and #hydrosphere
Surface Tradeoffs and Elevational Shifts at the Largest Italian Glacier: A Thirty-Years Time Series of #RemotelySensed #Images
by Nicola Alessi, Camilla Wellstein, Duccio Rocchini, Gabriele Midolo, Klaus Oeggl and Stefan Zerbe
👉https://t.co/H6TkTzfMJb
Featured article from the CJRS: The Integration of Multi-Source #RemotelySensed Data with Hierarchically Based Classification Approaches in Support of the Classification of Wetlands.
https://t.co/8sm5PNnFrk
#Irrigation and #Precipitation #Hydrological Consistency with SMOS, SMAP, ESA-CCI, Copernicus SSM1km, and AMSR-2 #RemotelySensed #Soil Moisture Products
by Nicola Paciolla, Chiara Corbari et al
👉https://t.co/HvJsV2eg5P
#remotesensing
Change Detection within #RemotelySensed #Satellite #Image #TimeSeries via #Spectral Analysis
by Ebrahim Ghaderpour and Tijana Vujadinovic
👉https://t.co/XTxR877jtW
#remotesensing
Use of #RemotelySensed Data to Enhance Estimation of Aboveground #Biomass for the Dry Afromontane #Forest in South-Central Ethiopia
by Habitamu Taddese, Zerihun Asrat et al
👉https://t.co/KRz4n4CDj3
#remotesensing
Characterizing the Error and Bias of #RemotelySensed LAI Products: An Example for #Tropical and #Subtropical #Evergreen #Forests in South China
by Yuan Zhao, Xiaoqiu Chen et al
👉https://t.co/kecnZrWpbx
#remotesensing #satellite #EarthObservation (#EO) #LeafArea
Improving #StageDischarge Relation in The Mekong #River Estuary by #RemotelySensed Long-Period #Ocean Tides
by Hongrui Peng, Hok Sum Fok, Junyi Gong and Lei Wang
👉https://t.co/zU9xxQDP0I
#remotesensing #satellite #water #SeaLevel #hydrology
Deep #Semantic #Segmentation of Center Pivot #Irrigation Systems from #RemotelySensed #Data
by Anesmar Olino de Albuquerque, Osmar Abílio de Carvalho Júnior, et al
👉https://t.co/uVA2lY19ix
#irrigation
#Landsat8
#deeplearning
#remotesensing
Model-Assisted #Bird #Monitoring Based on #RemotelySensed #Ecosystem Functioning and #Atlas #Data
by Adrián Regos, Pablo Gómez-Rodríguez, et al
👉https://t.co/5aLw9bN6MU
#vegetationproductivity
#biodiversity
#landsurfacetemperature
#remotesensing
Comparative #Quality and #Trend of #RemotelySensed #Phenology and #Productivity Metrics across the Western United States
by Ethan E. Berman, Tabitha A. Graves, et al
👉https://t.co/3qFj2pwKDd
#phenology
#landsurfacephenology
#forage
#remotesensing
Utilizing #RemotelySensed Observations to Estimate the #UrbanHeatIsland Effect at a Local Scale: Case Study of a University Campus
by Abdullah Addas @abdullahaddas, Ran Goldblatt and Steven Rubinyi
https://t.co/Ah0BBvxiZR
Retrieving the National Main Commodity Maps in Indonesia Based on High-#Resolution #RemotelySensed Data Using Cloud Computing Platform
by Aryo Adhi Condro, Yudi Setiawan, Lilik Budi Prasetyo, Rahmat Pramulya and Lasriama Siahaan
https://t.co/7ZQBpPDiqL
Towards a Tool for Early Detection and Estimation of #Forest Cuttings by #RemotelySensed Data
by Nicola Puletti and Marco Bascietto
https://t.co/bwdus7oZ9f
#remotesensing
#forest
YES! Confidence intervals and probability samples when developing #remotelysensed data sets! https://t.co/4OuwsVEO5x
Great discussion on the importance of not overselling results from #RemoteSensing but rather ensure you have confidence intervals and probability sample #eeus18 @J_P_Olofsson
The potential to monitor and survey populations from #RemotelySensed imagery is an exciting new development in #AnimalEcology.
Read the full Methods in #Ecology and #Evolution article here: https://t.co/4ozIFjWp10
"#RemotelySensed Imagery from @USGS: New Products & Services" 4429 Rm 309 Hynes 3rd Floor #Landsat #AAG2017
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