ASSESSING LANDSAT FRACTIONAL GROUND-COVER TIME SERIES ACROSS AUSTRALIA’S ARID RANGELANDS: SEPARATING GRAZING IMPACTS FROM CLIMATE VARIABILITY

11 citations as recorded by crossref.

1. From data to decisions: the potential of real-time precision technologies to enhance adaptive grazing management for livestock ranchers J. Derner et al.
2. Assessing the Accuracy of Landsat Vegetation Fractional Cover for Monitoring Australian Drylands A. Sutton et al.
3. Multidecadal Trend Analysis of Armenian Mountainous Grassland and Its Relationship to Climate Change Using Multi-Sensor NDVI Time-Series V. Muradyan et al.
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5. Using digital photography to monitor changes in biocrusts and ground cover in a savanna rangeland . Than Myint Swe et al.
6. A Systematic Review on Remote Sensing of Dryland Ecological Integrity: Improvement in the Spatiotemporal Monitoring of Vegetation Is Required A. Sutton et al.
7. Managing grazing to increase ground cover in rangelands: using remote sensing to detect change S. McDonald et al.
8. Predicting Ground Cover with Deep Learning Models—An Application of Spatio-Temporal Prediction Methods to Satellite-Derived Ground Cover Maps in the Great Barrier Reef Catchments Y. Mao et al.
9. Remote sensing reveals that wild herbivores limit senescent vegetation accumulation on dryland conservation reserves M. Smith et al.
10. A pixel-twinning approach for assessing additionality: a case study of human-induced regeneration projects T. Orton et al.
11. Is ground cover a useful indicator of grazing land condition? T. Beutel et al.