Results 1 to 5 of about 5 (5)
Remote Sensing, 2022 Monitoring vegetation disturbances using long remote sensing time series is crucial to support environmental management, biodiversity conservation, and adaptation strategies to climate change from global to local scales. However, it is difficult to assess whether a remotely detected vegetation disturbance is critical or not, since available operational
Roberto O. Chávez +6 more
openaire +4 more sources
npphen: an R-package for non-parametric reconstruction of vegetation phenology and anomaly detection using remote sensing [PDF]
, 2018 AbstractFor ecologists, the challenge at using remote sensing tools is to convert spectral data into ecologically relevant information like abundance, productivity or traits distribution. Among these features, plant phenology is one of the most used variables in any study applying remote sensing to plant ecology and it has formally considered as one of
Estay, Sergio A., Chávez, Roberto O.
openaire +1 more source
Distinguishing Abrupt and Gradual Forest Disturbances With MODIS-Based Phenological Anomaly Series. [PDF]
Front Plant Sci, 2022 Gnilke A, Sanders TGM.
europepmc +1 more source
Multispectral Satellite Image Analysis for Computing Vegetation Indices by R in the Khartoum Region of Sudan, Northeast Africa. [PDF]
J Imaging, 2023 Lemenkova P, Debeir O.
europepmc +1 more source