Related references
Note: Only part of the references are listed.Quantifying vegetation and its effect on aeolian sediment transport: A UAS investigation on longitudinal dunes
Samuel Shumack et al.
AEOLIAN RESEARCH (2022)
Measuring plant biomass remotely using drones in arid landscapes
Justin A. McCann et al.
ECOLOGY AND EVOLUTION (2022)
Remote sensing of trophic cascades: multi-temporal landsat imagery reveals vegetation change driven by the removal of an apex predator
Adrian G. Fisher et al.
LANDSCAPE ECOLOGY (2021)
Refining medium resolution fractional cover for arid Australia to detect vegetation dynamics and wind erosion susceptibility on longitudinal dunes
Samuel Shumack et al.
REMOTE SENSING OF ENVIRONMENT (2021)
Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty
Brady W. Allred et al.
METHODS IN ECOLOGY AND EVOLUTION (2021)
A nested drone-satellite approach to monitoring the ecological conditions of wetlands
Saheba Bhatnagar et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)
Using unmanned aerial systems and deep learning for agriculture mapping in Dubai
Lala El Hoummaidi et al.
Heliyon (2021)
Estimating the cover of Phragmites australis using unmanned aerial vehicles and neural networks in a semi-arid wetland
William Higgisson et al.
RIVER RESEARCH AND APPLICATIONS (2021)
An Integrated Spectral-Structural Workflow for Invasive Vegetation Mapping in an Arid Region Using Drones
Arnold Chi Kedia et al.
DRONES (2021)
Strategic adaptive management planning-Restoring a desert ecosystem by managing introduced species and native herbivores and reintroducing mammals
Richard T. Kingsford et al.
CONSERVATION SCIENCE AND PRACTICE (2021)
Leveraging Google Earth Engine (GEE) and machine learning algorithms to incorporate in situ measurement from different times for rangelands monitoring
Bo Zhou et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Exceptional Drought across Southeastern Australia Caused by Extreme Lack of Precipitation and Its Impacts on NDVI and SIF in 2018
Feng Tian et al.
REMOTE SENSING (2020)
Quantifying Western US Rangelands as Fractional Components with Multi-Resolution Remote Sensing and In Situ Data
Matthew Rigge et al.
REMOTE SENSING (2020)
Deep learning-based rapid recognition of oasis-desert ecotone plant communities using UAV low-altitude remote-sensing data
Mireguli Ainiwaer et al.
ENVIRONMENTAL EARTH SCIENCES (2020)
Prediction of Soybean Plant Density Using a Machine Learning Model and Vegetation Indices Extracted from RGB Images Taken with a UAV
Predrag Randelovic et al.
AGRONOMY-BASEL (2020)
Drone Image Segmentation Using Machine and Deep Learning for Mapping Raised Bog Vegetation Communities
Saheba Bhatnagar et al.
REMOTE SENSING (2020)
Ultra-high spatial resolution fractional vegetation cover from unmanned aerial multispectral imagery
Bethany Melville et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2019)
Multi-temporal SAR image classification of coastal plain wetlands using a new feature selection method and random forests
Meimei Zhang et al.
REMOTE SENSING LETTERS (2019)
Classifying drivers of global forest loss
Philip G. Curtis et al.
SCIENCE (2018)
Drones - the third generation source of remote sensing data
Anita Simic Milas et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2018)
Integrating Remotely Sensed Imagery and Existing Multiscale Field Data to Derive Rangeland Indicators: Application of Bayesian Additive Regression Trees
Sarah E. McCord et al.
RANGELAND ECOLOGY & MANAGEMENT (2017)
Complexity confers stability: Climate variability, vegetation response and sand transport on longitudinal sand dunes in Australia's deserts
Paul P. Hesse et al.
AEOLIAN RESEARCH (2017)
Global forest area disturbance from fire, insect pests, diseases and severe weather events
Pieter van Lierop et al.
FOREST ECOLOGY AND MANAGEMENT (2015)
Assessing the effects of site heterogeneity and soil properties when unmixing photosynthetic vegetation, non-photosynthetic vegetation and bare soil fractions from Landsat and MODIS data
Juan P. Guerschman et al.
REMOTE SENSING OF ENVIRONMENT (2015)
Continuity of Reflectance Data between Landsat-7 ETM+ and Landsat-8 OLI, for Both Top-of-Atmosphere and Surface Reflectance: A Study in the Australian Landscape
Neil Flood
REMOTE SENSING (2014)
Seasonal Composite Landsat TM/ETM plus Images Using the Medoid (a Multi-Dimensional Median)
Neil Flood
REMOTE SENSING (2013)
Carbon sequestration and biodiversity restoration potential of semi-arid mulga lands of Australia interpreted from long-term grazing exclosures
G. Bradd Witt et al.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT (2011)
A fresh framework for the ecology of arid Australia
S. R. Morton et al.
JOURNAL OF ARID ENVIRONMENTS (2011)
Mapping vegetated wetlands of Alaska using L-band radar satellite imagery
Jane Whitcomb et al.
CANADIAN JOURNAL OF REMOTE SENSING (2009)
Effect of errors in ground truth on classification accuracy
Mark J. Carlotto
INTERNATIONAL JOURNAL OF REMOTE SENSING (2009)
Variable vegetation cover and episodic sand movement on longitudinal desert sand dunes
Paul P. Hesse et al.
GEOMORPHOLOGY (2006)
Regularization and variable selection via the elastic net
H Zou et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)
Modelling the flow regime of an arid zone floodplain river, Diamantina River, Australia
JF Costelloe et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2003)