FORESTS AND LAND USE
Monitor forests, detect changes in land cover, improve REDD+ MRV
Get 14-day trialMONITOR AND MANAGE FORESTS & LAND USE
Monitor and manage forest assets and operations, track changes in land use and land cover, improve REDD+ MRV, localize deforestation in near-real time with high cadence, high resolution imagery.
Monitor and manage forest assets and operations
Analyze regions of interest, detect change, and derive timely insights to improve your forest operations and manage forest health.
- Detect, monitor, and assess the spread and impact of disease or disaster with RGB and NIR imagery
- Detect and analyze change over time for reporting and inventory assessment using monthly or quarterly cloud-free coverages
- Optimize every stage of the timber logging lifecycle with ground truth access in real time
Improve REDD+ Measurement, Reporting, and Verification
Achieve unmatched accuracy, efficiency, and capacity gains in REDD+ MRV with high resolution, wall-to-wall coverage and historical archive.
- Move from sample-based estimations to broad-area land classification
- Detect forest canopies and estimate carbon stocks and emissions at scale
- Identify deforestation trends since 2009 to assess and manage at-risk areas
Detect deforestation and changes in land use
Identify deforestation activity and enforce land use laws in near real time with Planet’s high cadence, global imagery.
- Track illegal events, such as large-scale deforestation or selective logging, with daily 3-5 m monitoring
- Contextualize changes in land cover with historical imagery through 2009
- Map changing land use patterns with monthly cloud-free coverages
Verify zero-deforestation commitments
Detect and monitor deforestation activity with Planet imagery to help enforce and report on zero-deforestation and sustainability goals.
- Proactively monitor and vet regional agricultural producer activity
- Mitigate reputational risk with ground truth visibility
- Manage supply chain compliance with objective data over ground surveys
"Planet’s rapid revisit times and high resolution are the most important factors, giving PlanetScope data advantages over alternatives both in forest monitoring and in forest area estimation."
Dr. Hans Ole Orka, Norwegian University of Life Sciences
"Planet imagery may be used to detect and map deforestation events greater than one hectare. Results show that change caused by deforestation can be automatically extracted with high accuracy."
Pete Watt, Indufor
CASE STUDY:
NEXGENMAP: LAND USE CLASSIFICATION IN BRAZIL
Historically, monitoring of forests and land use change through remote sensing has involved a compromise between resolution and frequency of available satellite imagery, as well as limited computing capacity for analysis. Recent developments in the spatial and temporal resolution of satellite imagery at global scales by Planet and in machine learning and image analysis at global scales by Google Earth Engine offer new opportunities to disrupt these historical limitations.
NexGenMap helped to establish the next generation of land use and land cover mapping tools by leveraging Planet’s satellite imagery and Google Earth Engine’s computing platforms. The collaborative project automatically detected and classified land use change throughout Brazil – pioneering new practical and cost-effective tools to track forest loss, classify change, and ultimately make more effective decisions about land use.
Learn more about this case study here.
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