Results 1 to 10 of about 142,821 (278)

Evaluation of Global Decametric-Resolution LAI, FAPAR and FVC Estimates Derived from Sentinel-2 Imagery

Remote Sensing, 2020
Global biophysical products at decametric resolution derived from Sentinel-2 imagery have emerged as a promising dataset for fine-scale ecosystem modeling and agricultural monitoring.
Qiong Hu, Jingya Yang, Baodong Xu, Jianxi Huang, Muhammad Sohail Memon, Gaofei Yin, Yelu Zeng, Jing Zhao, Ke Liu   +8 more
doaj   +1 more source

Remote Sensing of Grasslands: Performance Comparison of Radar and Optical Data in Machine Learning Classification [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Classification of grasslands has an important role in environmental monitoring, and management. This study compares and evaluates the performance of various machine learning and deep learning algorithms in grassland classification using remote sensing ...
K. Christofi, C. Chrysostomou, I. Tsardanidis, M. Mavrovouniotis, G. Guerrisi, C. Kontoes, D. G. Hadjimitsis, D. G. Hadjimitsis   +7 more
doaj   +1 more source

Comparison of Landsat-8 and Sentinel-2 Data for Estimation of Leaf Area Index in Temperate Forests

Remote Sensing, 2019
With the launch of the Sentinel-2 satellites, a European capacity has been created to ensure continuity of Landsat and SPOT observations. In contrast to previous sensors, Sentinel-2′s multispectral imager (MSI) incorporates three additional ...
Lorenz Hans Meyer, Marco Heurich, Burkhard Beudert, Joseph Premier, Dirk Pflugmacher   +4 more
doaj   +1 more source

A Sentinel-2 Dataset for Uganda [PDF]

Data, 2021
Earth observation data provide useful information for the monitoring and management of vegetation- and land-related resources. The Framework for Operational Radiometric Correction for Environmental monitoring (FORCE) was used to download, process and composite Sentinel-2 data from 2018–2020 for Uganda.
openaire   +2 more sources

Assessment of the Usefulness of Spectral Bands for the Next Generation of Sentinel-2 Satellites by Reconstruction of Missing Bands

Remote Sensing, 2022
The Sentinel-2 constellation has been providing high spatial, spectral and temporal resolution optical imagery of the continental surfaces since 2015.
Jordi Inglada, Julien Michel, Olivier Hagolle   +2 more
doaj   +1 more source

Modelling Daily Gross Primary Productivity with Sentinel-2 Data in the Nordic Region–Comparison with Data from MODIS

Remote Sensing, 2021
The high-resolution Sentinel-2 data potentially enable the estimation of gross primary productivity (GPP) at finer spatial resolution by better capturing the spatial variation in a heterogeneous landscapes.
Zhanzhang Cai, Sofia Junttila, Jutta Holst, Hongxiao Jin, Jonas Ardö, Andreas Ibrom, Matthias Peichl, Meelis Mölder, Per Jönsson, Janne Rinne, Maria Karamihalaki, Lars Eklundh   +11 more
doaj   +1 more source

Crop Identification Based on Multi-Temporal Active and Passive Remote Sensing Images

ISPRS International Journal of Geo-Information, 2022
Although vegetation index time series from optical images are widely used for crop mapping, it remains difficult to obtain sufficient time-series data because of satellite revisit time and weather in some areas.
Hebing Zhang, Hongyi Yuan, Weibing Du, Xiaoxuan Lyu   +3 more
doaj   +1 more source

Copernicus Sentinel-2 Calibration and Validation

European Journal of Remote Sensing, 2019
Copernicus, the European Commission’s (EC) Earth Observation Program launched the Sentinel-2A and Sentinel-2B satellites in 2015 and 2017, respectively.
Zoltan Szantoi, Peter Strobl
openaire   +2 more sources

Temporal variability in remote sensing accuracy for wetland mapping: a case study from Sentinel-1 and Sentinel-2 in Northeast China

International Journal of Digital Earth
Wetlands are vital ecosystems that support regional ecological balance and require efficient, accurate, and cost-effective monitoring approaches. This study enhances wetland mapping in the Sanjiang Plain using multi-source (Sentinel-1 SAR and Sentinel-2 ...
Wenqi Zhang, Chong Luo, Zongming Wang, Dehua Mao   +3 more
doaj   +1 more source

Investigating Sentinel-1 and Sentinel-2 Data Efficiency in Studying the Temporal Behavior of Wheat Phenological Stages Using Google Earth Engine

Agriculture, 2022
Crop monitoring is critical for sustaining agriculture, preserving natural resources, and dealing with the effects of population growth and climate change.
Hajar Saad El Imanni, Abderrazak El Harti, Jonathan Panimboza   +2 more
doaj   +1 more source