Results 1 to 10 of about 97,808,920 (303)

The Sentinel 2 MSI Spectral Mixing Space

Remote Sensing, 2022
A composite spectral feature space is used to characterize the spectral mixing properties of Sentinel 2 Multispectral Instrument (MSI) spectra over a wide diversity of landscapes.
Christopher Small, Daniel Sousa
doaj   +3 more sources

Sentinel-2 Data for Land Cover/Use Mapping: A Review

Remote Sensing, 2020
The advancement in satellite remote sensing technology has revolutionised the approaches to monitoring the Earth’s surface. The development of the Copernicus Programme by the European Space Agency (ESA) and the European Union (EU) has contributed to the ...
Matamyo Simwanda, Manjula Ranagalage, Darius Phiri   +2 more
exaly   +3 more sources

Evaluating Multi-Temporal Sentinel-1 and Sentinel-2 Imagery for Crop Classification: A Case Study in a Paddy Rice Growing Region of China [PDF]

Sensors
Information on crop planting structure serves as a key reference for crop growth monitoring and agricultural structural adjustment. Mapping the spatial distribution of crops through feature-based classification serves as a fundamental component of ...
Rui Wang, Le Xia, Tonglu Jia, Qinxin Zhao, Qiuhua He, Qinghua Xie, Haiqiang Fu   +6 more
doaj   +2 more sources

ESTIMATION OF SOIL MOISTURE USING SENTINEL-1 AND SENTINEL-2 IMAGES [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Soil moisture is a vital parameter for environmental research such as agriculture, hydrology, natural resources, environmental hazards, etc. It is essential to have timely soil moisture maps prepared with high accuracy, speed, and low cost. Therefore, in
R. Esmaeili Sarteshnizi, S. Sahebi Vayghan, I. Jazirian   +2 more
doaj   +1 more source

Integration of Sentinel 1 and Sentinel 2 Satellite Images for Crop Mapping

Applied Sciences, 2021
Crop identification is key to global food security. Due to the large scale of crop estimation, the science of remote sensing was able to do well in this field.
Shilan Felegari, Alireza Sharifi, Kamran Moravej, Muhammad Amin, Ahmad Golchin, Anselme Muzirafuti, Aqil Tariq, Na Zhao   +7 more
doaj   +1 more source

Improved red-edge chlorophyll-a detection for Sentinel 2

Ecological Indicators, 2021
Chlorophyll-a (chl-a) concentration is an indicator of algal biomass. The Sentinel 2 platform offers greatly improved spatial resolution over other satellite platforms designed for water based chl-a retrievals and includes a “red-edge” band at 704 nm not
James Bramich, Christopher J.S. Bolch, Andrew Fischer   +2 more
doaj   +1 more source

Crop growth monitoring through Sentinel and Landsat data based NDVI time-series [PDF]

Компьютерная оптика, 2020
Crop growth monitoring is an important phenomenon for agriculture classification, yield estimation, agriculture field management, improve productivity, irrigation, fertilizer management, sustainable agricultural development, food security and to ...
M.S. Boori , K. Choudhary, A.V. Kupriyanov   +2 more
doaj   +1 more source

Machine Learning Techniques for Phenology Assessment of Sugarcane Using Conjunctive SAR and Optical Data

Remote Sensing, 2022
Crop phenology monitoring is a necessary action for precision agriculture. Sentinel-1 and Sentinel-2 satellites provide us with the opportunity to monitor crop phenology at a high spatial resolution with high accuracy.
Md Yeasin, Dipanwita Haldar, Suresh Kumar, Ranjit Kumar Paul, Sonaka Ghosh   +4 more
doaj   +1 more source

Mapping of Land Cover with Optical Images, Supervised Algorithms, and Google Earth Engine

Sensors, 2022
Crops and ecosystems constantly change, and risks are derived from heavy rains, hurricanes, droughts, human activities, climate change, etc. This has caused additional damages with economic and social impacts.
Fernando Pech-May, Raúl Aquino-Santos, German Rios-Toledo, Juan Pablo Francisco Posadas-Durán   +3 more
doaj   +1 more source

Deriving Non-Cloud Contaminated Sentinel-2 Images with RGB and Near-Infrared Bands from Sentinel-1 Images Based on a Conditional Generative Adversarial Network

Remote Sensing, 2021
Sentinel-2 images have been widely used in studying land surface phenomena and processes, but they inevitably suffer from cloud contamination. To solve this critical optical data availability issue, it is ideal to fuse Sentinel-1 and Sentinel-2 images to
Quan Xiong, Liping Di, Quanlong Feng, Diyou Liu, Wei Liu, Xuli Zan, Lin Zhang, Dehai Zhu, Zhe Liu, Xiaochuang Yao, Xiaodong Zhang   +10 more
doaj   +1 more source