[HTML][HTML] Fifty years of Landsat science and impacts
Since 1972, the Landsat program has been continually monitoring the Earth, to now provide
50 years of digital, multispectral, medium spatial resolution observations. Over this time …
50 years of digital, multispectral, medium spatial resolution observations. Over this time …
[HTML][HTML] Potential for using remote sensing to estimate carbon fluxes across northern peatlands–A review
Peatlands store large amounts of terrestrial carbon and any changes to their carbon balance
could cause large changes in the greenhouse gas (GHG) balance of the Earth's …
could cause large changes in the greenhouse gas (GHG) balance of the Earth's …
PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle
Leaf pigments provide valuable information about plant physiology. High resolution
monitoring of their dynamics will give access to better understanding of processes occurring …
monitoring of their dynamics will give access to better understanding of processes occurring …
[HTML][HTML] Landsat-8: Science and product vision for terrestrial global change research
Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution
measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short …
measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short …
A novel multi-modality image fusion method based on image decomposition and sparse representation
Z Zhu, H Yin, Y Chai, Y Li, G Qi - Information Sciences, 2018 - Elsevier
Multi-modality image fusion is an effective technique to fuse the complementary information
from multi-modality images into an integrated image. The additional information can not only …
from multi-modality images into an integrated image. The additional information can not only …
A cubesat enabled spatio-temporal enhancement method (cestem) utilizing planet, landsat and modis data
Satellite sensing in the visible to near-infrared (VNIR) domain has been the backbone of
land surface monitoring and characterization for more than four decades. However, a …
land surface monitoring and characterization for more than four decades. However, a …
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 …
county-level corn and soybean yield forecasting efforts focused on the Corn Belt region of …
Estimation of vegetation photosynthetic capacity from space‐based measurements of chlorophyll fluorescence for terrestrial biosphere models
Photosynthesis simulations by terrestrial biosphere models are usually based on the
Farquhar's model, in which the maximum rate of carboxylation (Vcmax) is a key control …
Farquhar's model, in which the maximum rate of carboxylation (Vcmax) is a key control …
Estimation of terrestrial global gross primary production (GPP) with satellite data-driven models and eddy covariance flux data
We estimate global terrestrial gross primary production (GPP) based on models that use
satellite data within a simplified light-use efficiency framework that does not rely upon other …
satellite data within a simplified light-use efficiency framework that does not rely upon other …
Estimating crop biomass using leaf area index derived from Landsat 8 and Sentinel-2 data
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 …
and spatial resolution of satellite data, offering new opportunities for large-scale crop …