You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: USAGE.rst
+36-23Lines changed: 36 additions & 23 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -10,52 +10,65 @@ If you have used material from this repository, please reference them using this
10
10
11
11
Scientific papers
12
12
-----------------
13
+
Abhik, S, Hope, P, Hendon, HH, Hutley, LB, Johnson, S, Drosdowsky, W, Brown, JR & Duke, NC 2021, 'Influence of the 2015–2016 El Niño on the record-breaking mangrove dieback along northern Australia coast', *Scientific Reports*, vol. 11, no. 1, doi.org/10.1038/s41598-021-99313-w.
13
14
14
-
- Abhik S, Hope P, Hendon HH, Hutley LB, Johnson S, Drosdowsky W and Brown J (2021) 'Influence of 2015-16 El Niño on the record-breaking mangrove dieback along northern Australia coast', *Scientific Reports*, 11, 20411, doi.org/10.1038/s41598-021-99313-w.
15
+
Bishop-Taylor, R, Nanson, R, Sagar, S & Lymburner, L 2021, 'Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery', *Remote Sensing of Environment*, vol. 267, doi.org/10.1016/j.rse.2021.112734.
15
16
16
-
- Bishop-Taylor R, Nanson R, Sagar S and Lymburner L (2021) 'Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery', *Remote Sensing of Environment*, 267, 112734, doi.org/10.1016/j.rse.2021.112734.
17
+
Bishop-Taylor, R, Sagar, S, Lymburner, L, Alam, I & Sixsmith, J 2019, 'Sub-pixel waterline extraction: characterising accuracy and sensitivity to indices and spectra', *Remote Sensing*, vol. 11, no. 24, doi.org/10.3390/rs11242984.
17
18
18
-
- Bishop-Taylor R, Sagar S, Lymburner L, Alam I and Sixsmith J (2019) 'Sub-pixel waterline extraction: Characterising accuracy and sensitivity to indices and spectra', *Remote Sensing*, 11(24):2984, doi.org/10.3390/rs11242984.
19
+
Burton, CA, Rifai, SW, Renzullo, LJ & Van Dijk, AIJM 2024, 'Enhancing long-Term vegetation monitoring in Australia: A new approach for harmonising the Advanced Very High Resolution Radiometer normalised-difference vegetation (NVDI) with MODIS NDVI', *Earth System Science Data*, vol. 16, no. 10, pp. 4389-416, doi.org/10.5194/essd-16-4389-2024.
19
20
20
-
- Burton CA, Rifai SW, Renzullo LJ and Van Dijk AIJM (2024) 'Enhancing long-term vegetation monitoring in Australia: a new approach for harmonising the Advanced Very High Resolution Radiometer normalised-difference vegetation (NVDI) with MODIS NDVI', *Earth System Science Data*, 16, 4839-4416, doi.org/10.5194/essd-16-4389-2024.
21
+
Chatzopoulos-Vouzoglanis, K, Reinke, KJ, Soto-Berelov, M & Jones, SD 2024, 'Are fire intensity and burn severity associated? Advancing our understanding of FRP and NBR metrics from Himawari-8/9 and Sentinel-2', *International Journal of Applied Earth Observation and Geoinformation*, vol. 127, doi.org/10.1016/j.jag.2024.103673.
21
22
22
-
- Chatzopoulos-Vouzoglanis K, Reinke KJ, Soto‐Berelov M and Jones SD (2024) 'Are fire intensity and burn severity associated? Advancing our understanding of FRP and NBR metrics from Himawari-8/9 and Sentinel-2', *International Journal of Applied Earth Observation and Geoinformation*, 127, 103673, doi.org/10.1016/j.jag.2024.103673.
23
+
Chen, Y, Guerschman, J, Shendryk, Y, Henry, D & Harrison, MT 2021, 'Estimating pasture biomass using sentinel-2 imagery and machine learning', *Remote Sensing*, vol. 13, no. 4, pp. 1-20, doi.org/10.3390/rs13040603.
23
24
24
-
- Chen Y, Guerschman J, Shendryk Y, Henry D and Harrison MT (2021), 'Estimating pasture biomass using Sentinel-2 imagery and machine learning', *Remote Sensing*, 13, 603, doi.org/10.3390/RS13040603.
25
+
Choo, J, Cherukuru, N, Lehmann, E, Paget, M, Mujahid, A, Martin, P & Müller, M 2022, 'Spatial and temporal dynamics of suspended sediment concentrations in coastal waters of the South China Sea, off Sarawak, Borneo: ocean colour remote sensing observations and analysis', *Biogeosciences*, vol. 19, no. 24, pp. 5837-57, doi.org/10.5194/bg-19-5837-2022.
25
26
26
-
- Choo J, Cherukuru N, Lehmann E, Paget M, Mujahid A, Martin P and Müller M (2022) 'Spatial and temporal dynamics of suspended sediment concentrations in coastal waters of the South China Sea, off Sarawak, Borneo: ocean colour remote sensing observations and analysis', *Biogeosciences*, 19(24):5837-5857, doi.org/10.5194/bg-19-5837-2022.
27
+
—— 2025, 'Long term satellite observations and analysis of water clarity in tropical coastal waters off Sarawak, Malaysian Borneo', in *IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium*, pp. 4803-7, doi.org/10.1109/IGARSS55030.2025.11313902.
27
28
28
-
- DaSilva MD, Bruce D, Hesp PA, da Silva GM, and Downes J (2023) 'Post-wildfire coastal dunefield response using photogrammetry and satellite indices', *Earth Surface Processes and Landforms*, 48(9):1845-1868, doi.org/10.1002/esp.5591.
29
+
Colloff, MJ, Slattery, M, Pittock, J & Johnson, W 2026, 'Just another form of take: evaporation from irrigation storages and channels in the northern Murray–Darling Basin and the implications for water policy reform', *Australasian Journal of Water Resources*, pp. 1-23, doi.org/10.1080/13241583.2026.2650962.
29
30
30
-
- Dunn B, Ai E, Alger MJ, Fanson B, Fickas KC, Krause CE, Lymburner L, Nanson R, Papas P, Ronan M and Thomas RF (2023) 'Wetlands Insight Tool: characterising the surface water and vegetation cover dynamics of individual wetlands using multidecadal Landsat satellite data', *Wetlands*, 43(37), doi.org/10.1007/s13157-023-01682-7.
31
+
DaSilva, MD, Bruce, D, Hesp, PA, da Silva, GM & Downes, J 2023, 'Post-wildfire coastal dunefield response using photogrammetry and satellite indices', *Earth Surface Processes and Landforms*, vol. 48, no. 9, pp. 1845-68, doi.org/10.1002/esp.5591.
31
32
32
-
- Dunn B, Lymburner L, Newey V, Hicks A and Carey H (28 July - 2 August 2019) 'Developing a tool for wetland characterization using fractional cover, tasseled cap wetness and water observations from space', [conference presentation], *IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium*, 6095-6097, doi.org/10.1109/IGARSS.2019.8897806.
33
+
Dunn, B, Ai, E, Alger, MJ, Fanson, B, Fickas, KC, Krause, CE, Lymburner, L, Nanson, R, Papas, P, Ronan, M & Thomas, RF 2023, 'Wetlands Insight Tool: characterising the surface water and vegetation cover dynamics of individual wetlands using multidecadal Landsat satellite data', *Wetlands*, vol. 43, no. 4, doi.org/10.1007/s13157-023-01682-7.
33
34
34
-
- Gale MG, Cary GJ, van Dijk AIJM and Yebra M (2023) 'Untangling fuel, weather and management effects on fire severity: insights from large-sample LiDAR remote sensing analysis of conditions preceding the 2019-20 Australian wildfires', *Journal of Environmental Management*, 348, 119474, doi.org/10.1016/j.jenvman.2023.119474.
35
+
Dunn, B, Lymburner, L, Newey, V, Hicks, A & Carey, H 2019, 'Developing a tool for wetland characterization using Fractional Cover, Tasseled Cap Wetness and Water Observations from Space', in *IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium*, pp. 6095-7, doi.org/10.1109/IGARSS.2019.8897806.
35
36
36
-
- Krause CE, Newey V, Alger MJ and Lymburner L (2021) 'Mapping and monitoring the multi-decadal dynamics of Australia’s open waterbodies using Landsat', *Remote Sensing*, 13(8):1437, doi.org/10.3390/rs13081437.
37
+
Gale, MG, Cary, GJ, van Dijk, AIJM & Yebra, M 2023, 'Untangling fuel, weather and management effects on fire severity: Insights from large-sample LiDAR remote sensing analysis of conditions preceding the 2019-20 Australian wildfires', *Journal of Environmental Management*, vol. 348, doi.org/10.1016/j.jenvman.2023.119474.
37
38
38
-
- Malan N, Roughan M, Hemming M and Ingleton T (2024) 'Quantifying coastal freshwater extremes during unprecedented rainfall using long timeseries multi-platform salinity observations', *Nature Communications*, 15, 424, doi.org/10.1038/s41467-023-44398-2.
39
+
Hou, J, Sharples, W, Tarpanelli, A, Renzullo, L, Woldemeskel, F & Carrara, E 2026, 'Advancing Near-Real-Time flood inundation mapping in Australia', *Water Resources Research*, vol. 62, no. 2, doi.org/10.1029/2025WR040640.
39
40
40
-
- Nanson R, Bishop-Taylor R, Sagar S and Lymburner L (2022) 'Geomorphic insights into Australia's coastal change using a national dataset derived from the multi-decadal Landsat archive', *Estuarine, Coastal and Shelf Science*, 265, 107712. doi.org/10.1016/j.ecss.2021.107712.
41
+
Krause, CE, Newey, V, Alger, MJ & Lymburner, L 2021, 'Mapping and monitoring the multi-decadal dynamics of Australia’s open waterbodies using landsat', *Remote Sensing*, vol. 13, no. 8, doi.org/10.3390/rs13081437.
41
42
42
-
- Ochungo P, Sagna N, Neema V, Akintayo A, Athie A, Kabiru A, Ndiaye A, Michaut E, Merlo S and Lane P (2025) 'Shoreline dynamics and cultural heritage sites in Kenya, Tanzania, and Senegal: integrating remote sensing and archaeological knowledge', *Journal of Maps*, 21(1):2487454, doi.org/10.1080/17445647.2025.2487454.
43
+
Malan, N, Roughan, M, Hemming, M & Ingleton, T 2024, 'Quantifying coastal freshwater extremes during unprecedented rainfall using long timeseries multi-platform salinity observations', *Nature Communications*, vol. 15, no. 1, doi.org/10.1038/s41467-023-44398-2.
43
44
44
-
- Pucino N, Kennedy DM, Young M and Ierodiaconou D (2022) 'Assessing the accuracy of Sentinel-2 instantaneous subpixel shorelines using synchronous UAV ground truth surveys', *Remote Sensing of Environment*, 282, 113293, doi.org/10.1016/j.rse.2022.113293.
45
+
McCarroll, RJ, Kennedy, DM & Ierodiaconou, D 2025, 'Morphologically adaptive modelling of sea level rise induced coastal erosion impacts for south-east Australia', *Marine Geology*, vol. 488, doi.org/10.1016/j.margeo.2025.107602.
45
46
46
-
- Short MA, Norman RS, Pillans B, De Deckker P, Usback R, Opdyke BN, Ransley TR, Gray S and McPhail DC (2020) 'Two centuries of water-level records at Lake George, NSW', *Australian Journal of Earth Sciences*, 68(4):453-472, doi.org/10.1080/08120099.2020.1821247.
47
+
Ochungo, P, Sagna, N, Neema, V, Akintayo, A, Athie, A, Kabiru, A, Ndiaye, A, Michaut, E, Merlo, S & Lane, P 2025, 'Shoreline dynamics and cultural heritage sites in Kenya, Tanzania, and Senegal: integrating remote sensing and archaeological knowledge', *Journal of Maps*, vol. 21, no. 1, doi.org/10.1080/17445647.2025.2487454.
47
48
48
-
- Sutton A, Fisher A and Metternicht G (2022) 'Assessing the accuracy of Landsat vegetation fractional cover for monitoring Australian drylands', *Remote Sensing*', 14(24):6322. doi.org/10.3390/rs14246322.
49
+
Pucino, N, Kennedy, DM, Young, M & Ierodiaconou, D 2022, 'Assessing the accuracy of Sentinel-2 instantaneous subpixel shorelines using synchronous UAV ground truth surveys', *Remote Sensing of Environment*, vol. 282, doi.org/10.1016/j.rse.2022.113293.
49
50
50
-
- Taylor P, Almeida ACD, Kemmerer E and de Salles Abreu RO (2023) 'Improving spatial predictions of Eucalypt plantation growth by combining interpretable machine-learning with the 3-PG model', *Frontiers in Forests and Global Change*, 6, 1181049, doi.org/10.3389/ffgc.2023.1181049.
51
+
Ruscalleda-Alvarez, J, Page, GFM, Zdunic, K & Prober, SM 2025, 'Estimating woody vegetation cover in arid and semi-arid rangelands', *Ecological Indicators*, vol. 177, doi.org/10.1016/j.ecolind.2025.113741.
51
52
52
-
- Teng J, Penton DJ, Ticehurst C, Sengupta A, Freebairn A, Marvanek S, Vaze J, Gibbs M, Streeton N, Karim F and Morton S (2022) 'A comprehensive assessment of floodwater depth estimation models in semiarid regions', *Water Resources Research*, 58(11):e2022WR032031, doi.org/10.1029/2022WR032031.
53
+
Short, MA, Norman, RS, Pillans, B, De Deckker, P, Usback, R, Opdyke, BN, Ransley, TR, Gray, S & McPhail, DC 2021, Two centuries of water-level records at Lake George, NSW, Taylor and Francis Ltd., doi.org/10.1080/08120099.2020.1821247.
53
54
54
-
- Tsai YLS and Tseng KH (2023), 'Monitoring multidecadal coastline change and reconstructing tidal flat topography', *International Journal of Applied Earth Observation and Geoinformation*, 118, 103260, doi.org/10.1016/j.jag.2023.103260.
55
+
Sutton, A, Fisher, A & Metternicht, G 2022, 'Assessing the accuracy of Landsat Vegetation Fractional Cover for monitoring Australian drylands', *Remote Sensing*, vol. 14, no. 24, doi.org/10.3390/rs14246322.
56
+
57
+
Taylor, P, Almeida, AC, Kemmerer, E & Abreu, ROdS 2023, 'Improving spatial predictions of Eucalypt plantation growth by combining interpretable machine learning with the 3-PG model', *Frontiers in Forests and Global Change*, vol. 6, doi.org/10.3389/ffgc.2023.1181049.
58
+
59
+
Teng, J, Penton, DJ, Ticehurst, C, Sengupta, A, Freebairn, A, Marvanek, S, Vaze, J, Gibbs, M, Streeton, N, Karim, F & Morton, S 2022, 'A comprehensive assessment of floodwater depth estimation models in semiarid regions', *Water Resources Research*, vol. 58, no. 11, doi.org/10.1029/2022WR032031.
60
+
61
+
Tsai, YLS & Tseng, KH 2023, 'Monitoring multidecadal coastline change and reconstructing tidal flat topography', *International Journal of Applied Earth Observation and Geoinformation*, vol. 118, doi.org/10.1016/j.jag.2023.103260.
62
+
63
+
Wellington, MJ, Lawes, R & Kuhnert, P 2023, 'A framework for modelling spatio-temporal trends in crop production using generalised additive models', *Computers and Electronics in Agriculture*, vol. 212, doi.org/10.1016/j.compag.2023.108111.
Yebra, M, Scortechini, G, Younes, N & van Dijk, AIJM 2026, 'High-resolution monitoring of Live Fuel Moisture Content across Australia', *Remote Sensing*, vol. 18, no. 7, pp. 1049-73, doi.org/10.3390/rs18071049.
68
+
69
+
Zhao, L, Liu, J, Peters, S, Li, J, Oliver, S & Mueller, N 2022, 'Investigating the impact of using IR bands on early fire smoke detection from Landsat imagery with a lightweight CNN model', *Remote Sensing*, vol. 14, no. 13, doi.org/10.3390/rs14133047.
55
70
56
-
- Wellington MJ, Lawes R and Kuhnert P (2023) 'A framework for modelling spatio-temporal trends in crop production using generalised additive models', *Computers and Electronics in Agriculture*, 212, 108111. doi.org/10.1016/j.compag.2023.108111.
57
71
58
-
- Wellington MJ and Renzullo LJ (2021) 'High-dimensional satellite image compositing and statistics for enhanced irrigated crop mapping', *Remote Sensing*, 13(7):1300, doi.org/10.3390/rs13071300.
0 commit comments