[HTML][HTML] A comprehensive survey on quantifying non-photosynthetic vegetation cover and biomass from imaging spectroscopy

J Verrelst, A Halabuk, C Atzberger, T Hank… - Ecological …, 2023 - Elsevier
Non-photosynthetic vegetation (NPV) is considered a key quantifiable variable in the context
of new spaceborne imaging spectroscopy missions. Knowledge of NPV is essential for all …

[HTML][HTML] Multidecadal grassland fractional cover time series retrieval for Germany from the Landsat and Sentinel-2 archives

A Okujeni, K Kowalski, KE Lewińska… - Remote Sensing of …, 2024 - Elsevier
Time series data provided by the Sentinel-2 and Landsat satellite missions offer manifold
opportunities for grassland monitoring. The high intra-annual observation density of Sentinel …

Application of Normalized Radar Backscatter and Hyperspectral Data to Augment Rangeland Vegetation Fractional Classification

M Rigge, B Bunde, K Postma, S Oliver, N Mueller - Remote Sensing, 2024 - mdpi.com
Rangeland ecosystems in the western United States are vulnerable to climate change, fire,
and anthropogenic disturbances, yet classification of rangeland areas remains difficult due …

[HTML][HTML] Soil organic carbon mapping utilizing convolutional neural networks and Earth observation data, a case study in Bavaria state Germany

N Tziolas, N Tsakiridis, U Heiden, B van Wesemael - Geoderma, 2024 - Elsevier
Abstract The Copernicus Sentinel-2 multispectral imagery data may be aggregated to extract
large-scale, bare soil, reflectance composites, which enable soil mapping applications. In …

[HTML][HTML] Improved estimation of non-photosynthetic vegetation cover using a novel multispectral slope difference index with soil information, Sentinel-1 data, and …

X Chen, Y Ding, X Zheng, C Xu, Z Wu, Q Xie - Ecological Informatics, 2024 - Elsevier
Non-photosynthetic vegetation (NPV) plays a crucial role in vegetation–soil ecosystems by
influencing the dynamic uptake of carbon, water, and nutrients. The accurate estimation of …

Quantifying rangeland fractional cover in the Northern Great Basin sagebrush steppe communities using high-resolution unoccupied aerial systems (UAS) imagery

T Huang, PJ Olsoy, NF Glenn, ME Cattau, AV Roser… - Landscape …, 2024 - Springer
Objectives We evaluated the capabilities of UAS imagery for mapping rangeland fractional
vegetation cover in sagebrush steppe communities of the Northern Great Basin, USA …

Leveraging a decade of Landsat-8 spectral records for mapping blue carbon storage in tidal salt marshes

DL Warner, K St Laurent, TK McKenna… - … Applications: Society and …, 2024 - Elsevier
Tidal salt marsh ecosystems are known to accumulate and store large amounts of “blue”
carbon, making them an important component of regional carbon cycle processes and a …

Hyperspectral remote sensing for terrestrial applications

PS Thenkabail, I Aneece, P Teluguntla… - Remote Sensing …, 2016 - api.taylorfrancis.com
Remote Sensing Handbook, Volume III; Agriculture, Food Security, Rangelands, Vegetation,
Phenology, and Soils; Second Edition Page 1 285 10 DOI: 10.1201/9781003541165-12 …

Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues

JS Jennewein, W Hively, BT Lamb, CST Daughtry… - Precision …, 2024 - Springer
Purpose Cover crops and reduced tillage are two key climate smart agricultural practices
that can provide agroecosystem services including improved soil health, increased soil …

Remote sensing monitoring of forest fire hazard based on random forest method

XU Yufei, SUN Rui, H Xinyu - National Remote Sensing Bulletin, 2024 - ygxb.ac.cn
In recent years, the frequent occurrence of forest fires has brought great impact to people's
normal work and life as well as the natural ecosystem. The assessment of fire hazard is of …