Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover mapping: A systematic review
M ED Chaves, M CA Picoli, I D. Sanches - Remote Sensing, 2020 - mdpi.com
Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
Status of phenological research using Sentinel-2 data: A review
Remote sensing of plant phenology as an indicator of climate change and for mapping land
cover has received significant scientific interest in the past two decades. The advancing of …
cover has received significant scientific interest in the past two decades. The advancing of …
Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer
A timely and detailed crop-specific land cover map can support many agricultural
applications and decision makings. However, in-season crop mapping over a large area is …
applications and decision makings. However, in-season crop mapping over a large area is …
[HTML][HTML] Exploring the potential of Chinese GF-6 images for crop mapping in regions with complex agricultural landscapes
T Xia, Z He, Z Cai, C Wang, W Wang, J Wang… - International Journal of …, 2022 - Elsevier
Accurate and timely crop mapping is crucial for environment assessment, food security and
agricultural production. However, for the areas with high landscape heterogeneity and …
agricultural production. However, for the areas with high landscape heterogeneity and …
Using time series sentinel-1 images for object-oriented crop classification in google earth engine
C Luo, B Qi, H Liu, D Guo, L Lu, Q Fu, Y Shao - Remote Sensing, 2021 - mdpi.com
The purpose of this study was to evaluate the feasibility and applicability of object-oriented
crop classification using Sentinel-1 images in the Google Earth Engine (GEE). In this study …
crop classification using Sentinel-1 images in the Google Earth Engine (GEE). In this study …
GCI30: A global dataset of 30-m cropping intensity using multisource remote sensing imagery
The global distribution of cropping intensity (CI) is essential to our understanding of
agricultural land use management on Earth. Optical remote sensing has revolutionized our …
agricultural land use management on Earth. Optical remote sensing has revolutionized our …
Improving the accuracy of multiple algorithms for crop classification by integrating sentinel-1 observations with sentinel-2 data
A Chakhar, D Hernández-López, R Ballesteros… - Remote Sensing, 2021 - mdpi.com
The availability of an unprecedented amount of open remote sensing data, such as Sentinel-
1 and-2 data within the Copernicus program, has boosted the idea of combining the use of …
1 and-2 data within the Copernicus program, has boosted the idea of combining the use of …
Cropping patterns of annual crops: A remote sensing review
Cropping patterns are defined as the sequence and spatial arrangement of annual crops on
a piece of land. Knowledge of cropping patterns is crucial for crop production and land-use …
a piece of land. Knowledge of cropping patterns is crucial for crop production and land-use …
Annual dynamic dataset of global cropping intensity from 2001 to 2019
The cropping intensity has received growing concern in the agriculture field in applications
such as harvest area research. Notwithstanding the significant amount of existing literature …
such as harvest area research. Notwithstanding the significant amount of existing literature …
Assessing the accuracy of multiple classification algorithms for crop classification using Landsat-8 and Sentinel-2 data
A Chakhar, D Ortega-Terol, D Hernández-López… - Remote sensing, 2020 - mdpi.com
The launch of Sentinel-2A and B satellites has boosted the development of many
applications that could benefit from the fine resolution of the supplied information, both in …
applications that could benefit from the fine resolution of the supplied information, both in …