[HTML][HTML] 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 …

Deep learning in plant phenological research: A systematic literature review

N Katal, M Rzanny, P Mäder, J Wäldchen - Frontiers in Plant Science, 2022‏ - frontiersin.org
Climate change represents one of the most critical threats to biodiversity with far-reaching
consequences for species interactions, the functioning of ecosystems, or the assembly of …

[HTML][HTML] Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity

L Kooistra, K Berger, B Brede, LV Graf, H Aasen… - …, 2024‏ - bg.copernicus.org
Vegetation productivity is a critical indicator of global ecosystem health and is impacted by
human activities and climate change. A wide range of optical sensing platforms, from ground …

[HTML][HTML] Investigating mangrove canopy phenology in coastal areas of China using time series Sentinel-1/2 images

J Cao, X Xu, L Zhuo, K Liu - Ecological Indicators, 2023‏ - Elsevier
Mangrove forests with high vegetation productivity play crucial roles in the coastal blue
carbon ecosystem. Accurate monitoring of mangrove canopy phenology is essential to …

[HTML][HTML] Insights from field phenoty** improve satellite remote sensing based in-season estimation of winter wheat growth and phenology

LV Graf, QN Merz, A Walter, H Aasen - Remote Sensing of Environment, 2023‏ - Elsevier
Timely knowledge of phenological development and crop growth is pivotal for evidence-
based decision making in agriculture. We propose a near real-time approach combining …

Evaluation and Selection of Multi-Spectral Indices to Classify Vegetation Using Multivariate Functional Principal Component Analysis

S Pesaresi, A Mancini, G Quattrini, S Casavecchia - Remote Sensing, 2024‏ - mdpi.com
The identification, classification and map** of different plant communities and habitats is
of fundamental importance for defining biodiversity monitoring and conservation strategies …

Impacts of environmental pollution on mangrove phenology: Combining remotely sensed data and generalized additive models

O Celis-Hernandez, M Villoslada-Peciña… - Science of The Total …, 2022‏ - Elsevier
Mangrove ecosystems worldwide have been affected by anthropogenic activities that modify
natural conditions and supply trace elements that affect mangrove health and development …

[HTML][HTML] Mangrove forest cover and phenology with Landsat dense time series in Central Queensland, Australia

DA Chamberlain, SR Phinn, HP Possingham - Remote Sensing, 2021‏ - mdpi.com
Wetlands are one of the most biologically productive ecosystems. Wetland ecosystem
services, ranging from provision of food security to climate change mitigation, are enormous …

[HTML][HTML] Sugarcane yield estimation through remote sensing time series and phenology metrics

D Dimov, JH Uhl, F Löw, GN Seboka - Smart Agricultural Technology, 2022‏ - Elsevier
Accurate agricultural yield prediction is a fundamental tool for sustainable agricultural
planning and to ensure food security in regions critically affected by climate change and …

[HTML][HTML] An improved dynamic threshold method for determining the start of the vegetation greening season in remote sensing monitoring: The case of Inner Mongolia

H Li, FY Li, J Guo, X Gao - Ecological Informatics, 2023‏ - Elsevier
The start of the greening season (SOS) is the beginning of vegetation phenology, and its
time of occurrence affects the carbon cycle and organic matter production of the ecosystem …