A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter

Y Chen, R Cao, J Chen, L Liu, B Matsushita - ISPRS Journal of …, 2021 - Elsevier
Abstract Normalized Difference Vegetation Index (NDVI) data derived from Landsat satellites
are important resources for vegetation monitoring. However, Landsat NDVI time-series data …

[HTML][HTML] Landsat-8: Science and product vision for terrestrial global change research

DP Roy, MA Wulder, TR Loveland… - Remote sensing of …, 2014 - Elsevier
Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution
measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short …

[HTML][HTML] Remote sensing of agricultural drought monitoring: A state of art review

K Hazaymeh, QK Hassan - AIMS Environmental Science, 2016 - aimspress.com
Agricultural drought is a natural hazard that can be characterized by shortage of water
supply. In the scope of this paper, we synthesized the importance of agricultural drought and …

[图书][B] Phenology: an integrative environmental science

MD Schwartz - 2003 - Springer
In the preface to the first edition I described my personal phenological research “journey”,
and reviewed the conditions which enabled the successful creation of a general …

Generation and evaluation of the VIIRS land surface phenology product

X Zhang, L Liu, Y Liu, S Jayavelu, J Wang… - Remote Sensing of …, 2018 - Elsevier
Vegetation phenology is widely acknowledged to be a sensitive indicator of the response of
ecosystems to climate change, and phenological shifts have been shown to exert substantial …

[HTML][HTML] Automated crop field extraction from multi-temporal Web Enabled Landsat Data

L Yan, DP Roy - Remote Sensing of Environment, 2014 - Elsevier
An automated computational methodology to extract agricultural crop fields from 30 m Web
Enabled Landsat data (WELD) time series is presented. The results for three 150× 150 km …

[HTML][HTML] Robust Landsat-based crop time series modelling

DP Roy, L Yan - Remote Sensing of Environment, 2020 - Elsevier
Reliable satellite monitoring of agriculture is often difficult because surface variations occur
rapidly compared to the cloud-free satellite observation frequency. Harmonic time series …

Vegetation baseline phenology from kilometric global LAI satellite products

A Verger, I Filella, F Baret, J Peñuelas - Remote sensing of environment, 2016 - Elsevier
Land surface phenology derived from remotely sensed satellite data can substantially
improve our macroecological knowledge and the representation of phenology in earth …

Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves

M Baumann, M Ozdogan, AD Richardson… - International Journal of …, 2017 - Elsevier
Green-leaf phenology describes the development of vegetation throughout a growing
season and greatly affects the interaction between climate and the biosphere. Remote …

Rapid land cover map updates using change detection and robust random forest classifiers

KJ Wessels, F Van den Bergh, DP Roy, BP Salmon… - Remote sensing, 2016 - mdpi.com
The paper evaluated the Landsat Automated Land Cover Update Mapping (LALCUM)
system designed to rapidly update a land cover map to a desired nominal year using a pre …