| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A bi-directional strategy to detect land use function change using time-series Landsat imagery on Google Earth Engine: A case study of Huangshui River Basin in China
|
Shen, Zhenyu
|
|
|
5 |
C |
p.
|
article
|
| 2 |
Analysis of short-term soil moisture effects on the ASCAT backscatter-incidence angle dependence
|
Greimeister-Pfeil, Isabella
|
|
|
5 |
C |
p.
|
article
|
| 3 |
A new procedure for evaluating light-to-moderate earthquake location based on InSAR data and forward modeling tested on Mediterranean area
|
Polcari, M.
|
|
|
5 |
C |
p.
|
article
|
| 4 |
Assessing Amazon rainforest regrowth with GEDI and ICESat-2 data
|
Milenković, Milutin
|
|
|
5 |
C |
p.
|
article
|
| 5 |
Assessment of satellite orbit-drift artifacts in the long-term AVHRR FireCCILT11 global burned area data set
|
Giglio, Louis
|
|
|
5 |
C |
p.
|
article
|
| 6 |
Carbon fluxes from contemporary forest disturbances in North Carolina evaluated using a grid-based carbon accounting model and fine resolution remote sensing products
|
Gong, Weishu
|
|
|
5 |
C |
p.
|
article
|
| 7 |
Determining the accuracy of the landsat-based land continuous Variable Estimator
|
Ma, Han
|
|
|
5 |
C |
p.
|
article
|
| 8 |
Direct and automatic measurements of stem curve and volume using a high-resolution airborne laser scanning system
|
Hyyppä, Eric
|
|
|
5 |
C |
p.
|
article
|
| 9 |
Erratum regarding Declaration of Competing Interest
|
|
|
|
5 |
C |
p.
|
article
|
| 10 |
Following the cosmic-ray-neutron-sensing-based soil moisture under grassland and forest: Exploring the potential of optical and SAR remote sensing
|
Döpper, Veronika
|
|
|
5 |
C |
p.
|
article
|
| 11 |
Fusing or filling: Which strategy can better reconstruct high-quality fine-resolution satellite time series?
|
Shu, Hongtao
|
|
|
5 |
C |
p.
|
article
|
| 12 |
Generating continuous fine-scale land cover mapping by edge-guided maximum a posteriori based spatiotemporal sub-pixel mapping
|
He, Da
|
|
|
5 |
C |
p.
|
article
|
| 13 |
Geoscience-aware deep learning: A new paradigm for remote sensing
|
Ge, Yong
|
|
|
5 |
C |
p.
|
article
|
| 14 |
High spatial resolution vegetation gross primary production product: Algorithm and validation
|
Huang, Xiaojuan
|
|
|
5 |
C |
p.
|
article
|
| 15 |
How well can we predict vegetation growth through the coming growing season?
|
Peng, Qiongyan
|
|
|
5 |
C |
p.
|
article
|
| 16 |
Improving spatial variation of ground-level PM2.5 prediction with contrastive learning from satellite imagery
|
Jiang, Ziyang
|
|
|
5 |
C |
p.
|
article
|
| 17 |
Integrating MODIS and Landsat imagery to monitor the small water area variations of reservoirs
|
Li, Xinyan
|
|
|
5 |
C |
p.
|
article
|
| 18 |
Near real-time surface water extraction from GOES-16 geostationary satellite ABI images by constructing and sharpening the green-like band
|
Wang, Xia
|
|
|
5 |
C |
p.
|
article
|
| 19 |
Optical and SAR images Combined Mangrove Index based on multi-feature fusion
|
Huang, Ke
|
|
|
5 |
C |
p.
|
article
|
| 20 |
Remote sensing image gap filling based on spatial-spectral random forests
|
Wang, Qunming
|
|
|
5 |
C |
p.
|
article
|
Journal description