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 …

Status of phenological research using Sentinel-2 data: A review

G Misra, F Cawkwell, A Wingler - Remote Sensing, 2020 - mdpi.com
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 …

Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer

C Zhang, L Di, P Hao, Z Yang, L Lin, H Zhao… - International Journal of …, 2021 - Elsevier
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 …

[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 …

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 …

GCI30: A global dataset of 30-m cropping intensity using multisource remote sensing imagery

M Zhang, B Wu, H Zeng, G He, C Liu… - Earth System …, 2021 - essd.copernicus.org
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 …

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 …

Cropping patterns of annual crops: A remote sensing review

M Mahlayeye, R Darvishzadeh, A Nelson - Remote Sensing, 2022 - mdpi.com
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 …

Annual dynamic dataset of global cropping intensity from 2001 to 2019

X Liu, J Zheng, L Yu, P Hao, B Chen, Q Xin, H Fu… - Scientific Data, 2021 - nature.com
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 …

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 …