Remote sensing of land change: A multifaceted perspective

Z Zhu, S Qiu, S Ye - Remote Sensing of Environment, 2022 - Elsevier
The discipline of land change science has been evolving rapidly in the past decades.
Remote sensing played a major role in one of the essential components of land change …

Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities

WK Smith, MP Dannenberg, D Yan, S Herrmann… - Remote Sensing of …, 2019 - Elsevier
Drylands make up roughly 40% of the Earth's land surface, and billions of people depend on
services provided by these critically important ecosystems. Despite their relatively sparse …

NASA's Black Marble nighttime lights product suite

MO Román, Z Wang, Q Sun, V Kalb, SD Miller… - Remote Sensing of …, 2018 - Elsevier
NASA's Black Marble nighttime lights product suite (VNP46) is available at 500 m resolution
since January 2012 with data from the Visible Infrared Imaging Radiometer Suite (VIIRS) …

Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data

Z Wang, MO Román, VL Kalb, SD Miller… - Remote Sensing of …, 2021 - Elsevier
Satellite observations of nighttime lights (NTL) from Suomi-NPP and NOAA-20 VIIRS
Day/Night Band data have been widely used to estimate human activities. Long-term …

[HTML][HTML] Anisotropic characteristic of artificial light at night–Systematic investigation with VIIRS DNB multi-temporal observations

X Li, R Ma, Q Zhang, D Li, S Liu, T He, L Zhao - Remote Sensing of …, 2019 - Elsevier
The released VIIRS DNB nightly images, also known as VIIRS DNB daily nighttime images,
provide rich information for time series analysis of global socioeconomic dynamics …

Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery

X Zhang, S Jayavelu, L Liu, MA Friedl… - Agricultural and Forest …, 2018 - Elsevier
Land surface phenology (LSP) has been widely retrieved from time series of various satellite
instruments in order to monitor climate change and ecosystem dynamics. However, any …

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] Development and evaluation of a new algorithm for detecting 30 m land surface phenology from VIIRS and HLS time series

X Zhang, J Wang, GM Henebry, F Gao - ISPRS Journal of Photogrammetry …, 2020 - Elsevier
Land surface phenology (LSP) provides critical information for investigating vegetation
growth and development, studying ecosystem biodiversity, modeling terrestrial carbon and …

Accounting for training data error in machine learning applied to earth observations

A Elmes, H Alemohammad, R Avery, K Caylor… - Remote Sensing, 2020 - mdpi.com
Remote sensing, or Earth Observation (EO), is increasingly used to understand Earth system
dynamics and create continuous and categorical maps of biophysical properties and land …

[HTML][HTML] Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products

MO Román, C Justice, I Paynter, PB Boucher… - Remote Sensing of …, 2024 - Elsevier
This paper provides a review and summary status of the research underway by the NASA
Terra Aqua Suomi-NPP Land Discipline Team to provide continuity of global land data …