This review shows how PlanetScope's 3m, near-daily data is revolutionizing forest monitoring.
#RemoteSensing #EnvironmentalMonitoring #PlanetScope #EOb #SatelliteImagery #ClimateChange #Forestry #GIS
Many thanks to
@alexisachim.bsky.social
and
@irssubc.bsky.social
✍️: Shields, Coops, Achim (@alexisachim.bsky.social), Hamelin, Mulverhill
📖: Science of Remote Sensing
doi.org/10.1016/j.sr...
#planetScope #forestry #highresolution #nearrealtime #multispectral #IRSSlab #UBCForestry
This review shows how PlanetScope's 3m, near-daily data is revolutionizing forest monitoring.
#RemoteSensing #EnvironmentalMonitoring #PlanetScope #EOb #SatelliteImagery #ClimateChange #Forestry #GIS
Many thanks to
@alexisachim.bsky.social
and
@irssubc.bsky.social
We benchmarked #PlanetScope’s performance in detecting Fe³⁺-bearing iron oxides vs #Sentinel2, #ASTER, and #Landsat9.
📘 Full open-access article: www.mdpi.com/2072-4292/17...#Antimony #RemoteSensing #bandratio #satellite #mdpiremotesensing #mineralexploration #criticalrawmaterials
We benchmarked #PlanetScope’s performance in detecting Fe³⁺-bearing iron oxides vs #Sentinel2, #ASTER, and #Landsat9.
📘 Full open-access article: www.mdpi.com/2072-4292/17...#Antimony #RemoteSensing #bandratio #satellite #mdpiremotesensing #mineralexploration #criticalrawmaterials
We benchmarked #PlanetScope’s performance in detecting Fe³⁺-bearing iron oxides vs #Sentinel2, #ASTER, and #Landsat9.
📘 Full open-access article: www.mdpi.com/2072-4292/17...
#Antimony #RemoteSensing #bandratio #satellite #mdpiremotesensing #mineralexploration #criticalrawmaterials
We benchmarked #PlanetScope’s performance in detecting Fe³⁺-bearing iron oxides vs #Sentinel2, #ASTER, and #Landsat9.
📘 Full open-access article: www.mdpi.com/2072-4292/17...
#Antimony #RemoteSensing #bandratio #satellite #mdpiremotesensing #mineralexploration #criticalrawmaterials
- Peak spectral distinction in Apr-Jun (growing) & Sep-Oct (transition).
- Combining spring & autumn imagery achieved 77% accuracy (vs. 69% single-season).
- PlanetScope’s higher spatial res underperformed
- Peak spectral distinction in Apr-Jun (growing) & Sep-Oct (transition).
- Combining spring & autumn imagery achieved 77% accuracy (vs. 69% single-season).
- PlanetScope’s higher spatial res underperformed