A review of vegetation phenological metrics extraction using time-series, multispectral satellite data

L Zeng, BD Wardlow, D Xiang, S Hu, D Li - Remote Sensing of …, 2020 - Elsevier
Vegetation dynamics and phenology play an important role in inter-annual vegetation
changes in terrestrial ecosystems and are key indicators of climate-vegetation interactions …

Cheatgrass (Bromus tectorum) distribution in the intermountain Western United States and its relationship to fire frequency, seasonality, and ignitions

BA Bradley, CA Curtis, EJ Fusco, JT Abatzoglou… - Biological …, 2018 - Springer
Cheatgrass (Bromus tectorum) is an invasive grass pervasive across the Intermountain
Western US and linked to major increases in fire frequency. Despite widespread ecological …

Remote sensing in studies of the growing season: a bibliometric analysis

M Siłuch, P Bartmiński, W Zgłobicki - Remote Sensing, 2022 - mdpi.com
Analyses of climate change based on point observations indicate an extension of the plant
growing season, which may have an impact on plant production and functioning of natural …

Cheatgrass percent cover change: comparing recent estimates to climate change− driven predictions in the northern Great Basin

SP Boyte, BK Wylie, DJ Major - Rangeland Ecology & Management, 2016 - Elsevier
Cheatgrass (Bromus tectorum L.) is a highly invasive species in the Northern Great Basin
that helps decrease fire return intervals. Fire fragments the shrub steppe and reduces its …

An optimal sample data usage strategy to minimize overfitting and underfitting effects in regression tree models based on remotely-sensed data

Y Gu, BK Wylie, SP Boyte, J Picotte, DM Howard… - Remote sensing, 2016 - mdpi.com
Regression tree models have been widely used for remote sensing-based ecosystem
mapping. Improper use of the sample data (model training and testing data) may cause …

Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA

SP Boyte, BK Wylie, MB Rigge… - GIScience & Remote …, 2018 - Taylor & Francis
Data fused from distinct but complementary satellite sensors mitigate tradeoffs that
researchers make when selecting between spatial and temporal resolutions of remotely …

Multi-species inference of exotic annual and native perennial grasses in rangelands of the western United States using Harmonized Landsat and Sentinel-2 data

D Dahal, NJ Pastick, SP Boyte, S Parajuli, MJ Oimoen… - Remote Sensing, 2022 - mdpi.com
The invasion of exotic annual grass (EAG), eg, cheatgrass (Bromus tectorum) and
medusahead (Taeniatherum caput-medusae), into rangeland ecosystems of the western …

Analysis of NVDI variability in response to precipitation and air temperature in different regions of Iraq, using MODIS vegetation indices

A Daham, D Han, M Rico-Ramirez, A Marsh - Environmental earth …, 2018 - Springer
Iraq, the land of two rivers, has a history that extends back millennia and is the subject of
much archaeological research. However, little environmental research has been carried out …

Developing the vegetation drought response index for South Korea (VegDRI-SKorea) to assess the vegetation condition during drought events

WH Nam, T Tadesse, BD Wardlow… - … journal of remote …, 2018 - Taylor & Francis
South Korea has experienced severe droughts and water scarcity problems that have
influenced agriculture, food prices, and crop production in recent years. Traditionally, climate …

Application-ready expedited MODIS data for operational land surface monitoring of vegetation condition

JF Brown, D Howard, B Wylie, A Frieze, L Ji, C Gacke - Remote Sensing, 2015 - mdpi.com
Monitoring systems benefit from high temporal frequency image data collected from the
Moderate Resolution Imaging Spectroradiometer (MODIS) system. Because of near-daily …