A review of spectral indices for mangrove remote sensing

TV Tran, R Reef, X Zhu - Remote Sensing, 2022 - mdpi.com
Mangrove ecosystems provide critical goods and ecosystem services to coastal
communities and contribute to climate change mitigation. Over four decades, remote …

The role of remote sensing data and methods in a modern approach to fertilization in precision agriculture

D Radočaj, M Jurišić, M Gašparović - Remote Sensing, 2022 - mdpi.com
The precision fertilization system is the basis for upgrading conventional intensive
agricultural production, while achieving both high and quality yields and minimizing the …

[HTML][HTML] A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research

D Montero, C Aybar, MD Mahecha, F Martinuzzi… - Scientific Data, 2023 - nature.com
Spectral Indices derived from multispectral remote sensing products are extensively used to
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …

A modified bare soil index to identify bare land features during agricultural fallow-period in southeast Asia using Landsat 8

CT Nguyen, A Chidthaisong, P Kieu Diem, LZ Huo - Land, 2021 - mdpi.com
Bare soil is a critical element in the urban landscape and plays an essential role in urban
environments. Yet, the separation of bare soil and other land cover types using remote …

Ecological quality assessment and monitoring using a time-series remote sensing-based ecological index (ts-RSEI)

C Sun, J Li, Y Liu, L Cao, J Zheng, Z Yang… - GIScience & Remote …, 2022 - Taylor & Francis
Ecological quality assessment is fundamental to revealing changes in ecological
environments before the development of effective ecological conservation policies. The …

[HTML][HTML] Examining rice distribution and cropping intensity in a mixed single-and double-cropping region in South China using all available Sentinel 1/2 images

Y He, J Dong, X Liao, L Sun, Z Wang, N You… - International Journal of …, 2021 - Elsevier
Paddy rice agriculture in Southern China, especially Hunan Province, has been suffered
from soil contamination. Several policies including rice fallow and decreasing cropping …

Flood susceptibility modeling and hazard perception in Rwanda

R Mind'je, L Li, AC Amanambu, L Nahayo… - International journal of …, 2019 - Elsevier
Flooding is a deleterious phenomenon that induces detrimental impacts on humans,
properties and environment. As a result, the knowledge of susceptible places and hazard …

[HTML][HTML] Geoscience-aware deep learning: A new paradigm for remote sensing

Y Ge, X Zhang, PM Atkinson, A Stein, L Li - Science of Remote Sensing, 2022 - Elsevier
Abstract Information extraction is a key activity for remote sensing images. A common
distinction exists between knowledge-driven and data-driven methods. Knowledge-driven …

Deep learning classification by ResNet-18 based on the real spectral dataset from multispectral remote sensing images

Y Zhao, X Zhang, W Feng, J Xu - Remote Sensing, 2022 - mdpi.com
Owing to the limitation of spatial resolution and spectral resolution, deep learning methods
are rarely used for the classification of multispectral remote sensing images based on the …

Mapping essential urban land use categories (EULUC) using geospatial big data: Progress, challenges, and opportunities

B Chen, B Xu, P Gong - Big Earth Data, 2021 - Taylor & Francis
Urban land use information that reflects socio-economic functions and human activities is
critically essential for urban planning, landscape design, environmental management …