[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 …

Detecting forest response to droughts with global observations of vegetation water content

AG Konings, SS Saatchi, C Frankenberg… - Global Change …, 2021 - Wiley Online Library
Droughts in a warming climate have become more common and more extreme, making
understanding forest responses to water stress increasingly pressing. Analysis of water …

A first Chinese building height estimate at 10 m resolution (CNBH-10 m) using multi-source earth observations and machine learning

WB Wu, J Ma, E Banzhaf, ME Meadows, ZW Yu… - Remote Sensing of …, 2023 - Elsevier
Building height is a crucial variable in the study of urban environments, regional climates,
and human-environment interactions. However, high-resolution data on building height …

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 map** using deep learning and Google Earth Engine

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

Snow depth variability in the Northern Hemisphere mountains observed from space

H Lievens, M Demuzere, HP Marshall… - Nature …, 2019 - nature.com
Accurate snow depth observations are critical to assess water resources. More than a billion
people rely on water from snow, most of which originates in the Northern Hemisphere …

[HTML][HTML] Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and …

B Fu, Y Liang, Z Lao, X Sun, S Li, H He, W Sun… - International Journal of …, 2023 - Elsevier
Mangroves play a significant role in carbon sequestration and storage. Map** mangrove
species and monitoring their conditions have been a crucial issue for achieving sustainable …

The SMAP and Copernicus Sentinel 1A/B microwave active-passive high resolution surface soil moisture product

NN Das, D Entekhabi, RS Dunbar, MJ Chaubell… - Remote Sensing of …, 2019 - Elsevier
Abstract Soil Moisture Active Passive (SMAP) mission of NASA was launched in January
2015. Currently, SMAP has an L-band radiometer and a defunct L-band radar with a rotating …

Artificial intelligence in food safety: A decade review and bibliometric analysis

Z Liu, S Wang, Y Zhang, Y Feng, J Liu, H Zhu - Foods, 2023 - mdpi.com
Artificial Intelligence (AI) technologies have been powerful solutions used to improve food
yield, quality, and nutrition, increase safety and traceability while decreasing resource …