Results 181 to 190 of about 74,949,253 (275)

Mapping peak flowering phenology of rapeseed (Brassica napus) in North Dakota using Landsat 8 and Sentinel-2. [PDF]

Sci Rep
Rahimi E, Jung C.
europepmc   +1 more source

Multi-Season Phenology Mapping of Nile Delta Croplands Using Time Series of Sentinel-2 and Landsat 8 Green LAI. [PDF]

Remote Sens (Basel), 2022
Amin E, Belda S, Pipia L, Szantoi Z, El Baroudy A, Moreno J, Verrelst J.   +6 more
europepmc   +1 more source

Analisis Pola Perubahan Garis Pantai Pesisir Semarang dan Sekitarnya Berdasarkan Citra Satelit Landsat Mulitemporal

, 2015
Pola perubahan garis pantai dalam periode tertentu pada suatu wilayah sangatberguna bagi perlindungan dan pengembangan wilayah tersebut. Pantai Semarang dansekitarnya merupakan salah satu wilayah pesisir yang cukup dinamis.
Teguh Prayogo
core  

Dual‐Branch Network With Enhanced Feature Fusion for Improved Rice Classification Accuracy

Journal of Sustainable Agriculture and Environment, Volume 5, Issue 4, December 2026.
ABSTRACT Accurate mapping of rice, one of the world's most important food crops, is critical for monitoring its growth, estimating yields, and supporting global food security. Most deep learning methods for crop classification rely on multi‐temporal optical remote sensing data. However, it is difficult to obtain sufficient ground‐truth samples for time‐
Rongfei Ma, Wenjiao Shi, Minglei Wang, Xiwei Chen, Chenchen Zhang, Baihong Pan, Xiangming Xiao   +6 more
wiley   +1 more source

Timeseries of multispectral and radar data and vegetation indices from Sentinel-1, Sentinel-2 and Landsat-8 at field scale. [PDF]

Data Brief
Frappart F, Ygorra B, Baup F, Martin-Comte A, Gross K, Fieuzal R, Battista C, Riazanoff S.   +7 more
europepmc   +1 more source

Estimation of aboveground biomass of vegetation based on landsat 8 OLI images.

Heliyon, 2022
Zhang Y, Wang R.
europepmc   +1 more source

Uncertainties Involved in the Use of Thresholds for the Detection of Water Bodies in Multitemporal Analysis from Landsat-8 and Sentinel-2 Images. [PDF]

Sensors (Basel), 2021
Reis LGM, Souza WO, Ribeiro Neto A, Fragoso CR, Ruiz-Armenteros AM, Cabral JJDSP, Montenegro SMGL.   +6 more
europepmc   +1 more source

A Field Guide to Corralling the Chaos: A Planning Framework for Using Models to Guide Opportunistic Field Studies of Natural Disturbances

Perspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.
Abstract Watersheds regulate biogeochemical processes and provide ecosystem services to human societies, but disturbances can fundamentally alter these processes across space and time. Determining when and where to sample to capture disturbance impacts in watersheds remains a central challenge.
Peter Regier, James C. Stegen, Sundar Niroula, Brieanne Forbes, Amy E. Goldman, Nicholas D. Ward, Jake Cavaiani, Lupita Renteria, Xingyuan Chen, Allison N. Myers‐Pigg   +9 more
wiley   +1 more source

Agricultural sustainability monitoring in arid regions using hybrid deep learning and Landsat 8 imagery in Najran City, Saudi Arabia. [PDF]

Sci Rep
Asiri Y, Alshari EA, Mashraqi AM, Senan EM, Halawani HT, Althagafi BHE.   +5 more
europepmc   +1 more source

Science Needs for a Terrestrial Biosphere Tipping Point Early Warning System

Reviews of Geophysics, Volume 64, Issue 4, December 2026.
Abstract Tipping points in the Earth system have the potential to cause major detrimental impacts to the biosphere and societies. Their inherent nonlinearity implies that even relatively small additional increases in external forcing might result in disproportionately large adjustments to components of the Earth system.
Jesse F. Abrams, Chris Huntingford, Sergei Petrovskii, Joshua E. Buxton, Helen Millman, Chris A. Boulton, Robert J. Parker, Cristina Ruiz Villena, Andrew M. Cunliffe, Joseph Clarke, Valerio Lucarini, Darren Ghent, Peter M. Cox, Timothy M. Lenton   +13 more
wiley   +1 more source