Radar remote sensing of agricultural canopies: A review

SC Steele-Dunne, H McNairn… - IEEE Journal of …, 2017‏ - ieeexplore.ieee.org
Observations from spaceborne radar contain considerable information about vegetation
dynamics. The ability to extract this information could lead to improved soil moisture …

[کتاب][B] Thriving on our changing planet: A decadal strategy for Earth observation from space

National Academies of Sciences, Medicine… - 2019‏ - books.google.com
We live on a dynamic Earth shaped by both natural processes and the impacts of humans
on their environment. It is in our collective interest to observe and understand our planet …

[HTML][HTML] Assessment of RapidEye vegetation indices for estimation of leaf area index and biomass in corn and soybean crops

A Kross, H McNairn, D Lapen, M Sunohara… - International Journal of …, 2015‏ - Elsevier
Leaf area index (LAI) and biomass are important indicators of crop development and the
availability of this information during the growing season can support farmer decision …

Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system

W Li, Z Niu, H Chen, D Li, M Wu, W Zhao - Ecological indicators, 2016‏ - Elsevier
Canopy height (H canopy) and aboveground biomass (AGB) of crops are two basic agro-
ecological indicators that can provide important indications on the growth, light use …

Estimating maize biomass and yield over large areas using high spatial and temporal resolution Sentinel-2 like remote sensing data

M Battude, A Al Bitar, D Morin, J Cros, M Huc… - Remote Sensing of …, 2016‏ - Elsevier
This study aims at develo** a robust and generic methodology, based on the use of high
resolution remote sensing data to provide accurate estimates of maize biomass and yield …

Comparison and transferability of thermal, temporal and phenological-based in-season predictions of above-ground biomass in wheat crops from proximal crop …

Z Li, Y Zhao, J Taylor, R Gaulton, X **, X Song… - Remote Sensing of …, 2022‏ - Elsevier
Timely monitoring of above-ground biomass (AGB) is essential for indicating the crop growth
status and predicting grain yield and carbon dynamics. Non-destructive remote sensing …

An assessment of pre-and within-season remotely sensed variables for forecasting corn and soybean yields in the United States

DM Johnson - Remote Sensing of Environment, 2014‏ - Elsevier
Four timely and broadly available remotely sensed datasets were assessed for inclusion into
county-level corn and soybean yield forecasting efforts focused on the Corn Belt region of …

Dynamic estimation of rice aboveground biomass based on spectral and spatial information extracted from hyperspectral remote sensing images at different …

T Xu, F Wang, Z Shi, L **e, X Yao - ISPRS Journal of Photogrammetry and …, 2023‏ - Elsevier
Aboveground biomass (AGB) is an essential factor in rice ecological research. Optical
variables (eg reflectivity and vegetation index (VI)) are widely adopted in monitoring AGB …

Estimating crop biomass using leaf area index derived from Landsat 8 and Sentinel-2 data

T Dong, J Liu, B Qian, L He, J Liu, R Wang… - ISPRS Journal of …, 2020‏ - Elsevier
The availability of Landsat 8 and Sentinel-2 has led to a steady increase in both temporal
and spatial resolution of satellite data, offering new opportunities for large-scale crop …