[HTML][HTML] Crop monitoring by multimodal remote sensing: A review

P Karmakar, SW Teng, M Murshed, S Pang, Y Li… - Remote Sensing …, 2024 - Elsevier
Effective approaches to achieve food safety and security can prevent catastrophic situations.
Therefore, it is required to monitor agricultural crops on a regular basis. This can be easily …

Uniting remote sensing, crop modelling and economics for agricultural risk management

E Benami, Z Jin, MR Carter, A Ghosh… - Nature Reviews Earth & …, 2021 - nature.com
The increasing availability of satellite data at higher spatial, temporal and spectral
resolutions is enabling new applications in agriculture and economic development …

[HTML][HTML] Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany

L Blickensdörfer, M Schwieder, D Pflugmacher… - Remote sensing of …, 2022 - Elsevier
Monitoring agricultural systems becomes increasingly important in the context of global
challenges like climate change, biodiversity loss, population growth, and the rising demand …

Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data

D Mandal, V Kumar, D Ratha, S Dey… - Remote Sensing of …, 2020 - Elsevier
Abstract Sentinel-1 Synthetic Aperture Radar (SAR) data have provided an unprecedented
opportunity for crop monitoring due to its high revisit frequency and wide spatial coverage …

Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine

J Adrian, V Sagan, M Maimaitijiang - ISPRS Journal of Photogrammetry and …, 2021 - Elsevier
Accurate crop type mapping provides numerous benefits for a deeper understanding of food
systems and yield prediction. Ever-increasing big data, easy access to high-resolution …

[HTML][HTML] From parcel to continental scale–A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations

R d'Andrimont, A Verhegghen, G Lemoine… - Remote sensing of …, 2021 - Elsevier
Detailed parcel-level crop type mapping for the whole European Union (EU) is necessary for
the evaluation of agricultural policies. The Copernicus program, and Sentinel-1 (S1) in …

Mapping cropping intensity in China using time series Landsat and Sentinel-2 images and Google Earth Engine

L Liu, X Xiao, Y Qin, J Wang, X Xu, Y Hu… - Remote Sensing of …, 2020 - Elsevier
Cropping intensity has undergone dramatic changes worldwide due to the effects of climate
changes and human management activities. Cropping intensity is an important factor …

Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mapping via a multi-source deep learning architecture

D Ienco, R Interdonato, R Gaetano… - ISPRS Journal of …, 2019 - Elsevier
The huge amount of data currently produced by modern Earth Observation (EO) missions
has allowed for the design of advanced machine learning techniques able to support …

Land use land cover classification with U-net: Advantages of combining sentinel-1 and sentinel-2 imagery

JV Solórzano, JF Mas, Y Gao, JA Gallardo-Cruz - Remote Sensing, 2021 - mdpi.com
The U-net is nowadays among the most popular deep learning algorithms for land use/land
cover (LULC) mapping; nevertheless, it has rarely been used with synthetic aperture radar …

Bibliometric analysis of global NDVI research trends from 1985 to 2021

Y Xu, Y Yang, X Chen, Y Liu - Remote Sensing, 2022 - mdpi.com
As one of the earliest remote sensing indices, the Normalized Difference Vegetation Index
(NDVI) has been employed extensively for vegetation research. However, despite an …