A5012845214- Remote Sensing in Agriculture
- Plant Water Relations and Carbon Dynamics
- Atmospheric and Environmental Gas Dynamics
- Urban Heat Island Mitigation
- Remote Sensing and LiDAR Applications
- Leaf Properties and Growth Measurement
- Geophysics and Gravity Measurements
- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Remote-Sensing Image Classification
- Smart Agriculture and AI
- Climate variability and models
- Hydrology and Watershed Management Studies
- Calibration and Measurement Techniques
- Solar Radiation and Photovoltaics
- Soil Moisture and Remote Sensing
- Plant responses to elevated CO2
- Spacecraft Design and Technology
- Solar and Space Plasma Dynamics
- Fire effects on ecosystems
- Precipitation Measurement and Analysis
- Spectroscopy and Chemometric Analyses
- Impact of Light on Environment and Health
- Inertial Sensor and Navigation
- Soil Geostatistics and Mapping
Planet Biotechnology (United States)
2020-2024
King Abdullah University of Science and Technology
2013-2020
South Dakota State University
2018-2020
University of Twente
2015
Jet Propulsion Laboratory
2015
Joint Research Centre
2011-2013
Earth System Science Interdisciplinary Center
2009-2012
University of Maryland, College Park
2009-2012
Joint Research Centre
2011
Goddard Space Flight Center
2009-2010
The Gravity Recovery and Climate Experiment (GRACE) twin satellites observe time variations in Earth's gravity field which yield valuable information about changes terrestrial water storage (TWS). GRACE is characterized by low spatial (>150,000 km 2 ) temporal (>10 days) resolution but has the unique ability to sense stored at all levels (including groundwater) systematically continuously. Data Assimilation System (DAS), based on Catchment Land Surface Model (CLSM), enhances value of...
Abstract. In just the past 5 years, field of Earth observation has progressed beyond offerings conventional space-agency-based platforms to include a plethora sensing opportunities afforded by CubeSats, unmanned aerial vehicles (UAVs), and smartphone technologies that are being embraced both for-profit companies individual researchers. Over previous decades, space agency efforts have brought forth well-known immensely useful satellites such as Landsat series Gravity Research Climate...
Abiotic stress can alter key physiological constituents and functions in green plants. Improving the capacity to monitor this response a non-destructive manner is of considerable interest, as it would offer direct means initiating timely corrective action. Given vital role that plant pigments play photosynthetic process general condition, their accurate estimation provide health indirectly determine response. The aim work evaluate leaf chlorophyll carotenoid (Ct) content wheat (Triticum...
The PlanetScope CubeSat constellation is providing unprecedented global coverage, visible to near infrared, atmospherically corrected, 3 m imagery. revisit interval between successive overpasses varies in space and time a complex manner because of variety factors particularly the different sensor orbits. temporal availability imagery quantified this study considering all publicly available images acquired globally for 12 month period from December 1st 2019 November 30th 2020. A total 175.8...
Planet Labs (“Planet”) operate the largest fleet of active nano-satellites in orbit, offering an unprecedented monitoring capacity daily and global RGB image capture at 3–5 m resolution. However, limitations spectral resolution lack accurate radiometric sensor calibration impact utility this rich information source. In study, Planet’s imagery was translated into a Normalized Difference Vegetation Index (NDVI): common metric for vegetation growth condition. Our framework employs data mining...
Developing rapid and non-destructive methods for chlorophyll estimation over large spatial areas is a topic of much interest, as it would provide an indirect measure plant photosynthetic response, be useful in monitoring soil nitrogen content, offer the capacity to assess vegetation structural functional dynamics. Traditional direct tissue analysis or use handheld meters, are not able capture variability at anything beyond point scales, so particularly informing decisions on health status...
Constellations of CubeSats are emerging as a novel observational resource with the potential to overcome spatiotemporal constraints conventional single-sensor satellite missions. With constellation more than 170 active CubeSats, Planet has realized daily global imaging in RGB and near-infrared (NIR) at ~3 m resolution. While superior terms resolution, radiometric quality is not equivalent that larger satellites. Variations orbital configuration sensor-specific spectral response functions...
Accurate early season predictions of crop yield at the within-field scale can be used to address a range production, management, and precision agricultural challenges. While remote sensing insights has been research goal for many years, it is only recently that observations with required spatio-temporal resolutions, together efficient assimilation methods integrate these into modeling frameworks, have become available advance prediction efforts. Here we explore approach combines daily...
Mapping canopy photosynthesis in both high spatial and temporal resolution is essential for carbon cycle monitoring heterogeneous areas. However, well established satellites sun-synchronous orbits such as Sentinel-2, Landsat MODIS can only provide either or but not both. Recently CubeSat satellite constellations have created an opportunity to overcome this trade-off. In particular, Planet Fusion allows full utilization of the data coverage while maintaining radiometric quality. study, we...
Abstract Satellite‐based remote sensing has generally necessitated a trade‐off between spatial resolution and temporal frequency, affecting the capacity to observe fast hydrological processes rapidly changing land surface conditions. An avenue for overcoming these spatiotemporal restrictions is concept of using constellations satellites, as opposed mission focus exemplified by more conventional space‐agency approach earth observation. Referred CubeSats, platforms offer potential provide new...
Remote sensing based estimation of evapotranspiration (ET) provides a direct accounting the crop water use. However, use satellite data has generally required that compromise between spatial and temporal resolution is made, i.e., one could obtain low regularly, or high occasionally. As consequence, this spatiotemporal trade-off tended to limit impact remote for precision agricultural applications. With recent emergence constellations small CubeSat-based systems, these constraints are rapidly...
Satellite remote sensing has great potential to deliver on the promise of a data-driven agricultural revolution, with emerging space-based platforms providing spatiotemporal insights into precision-level attributes such as crop water use, vegetation health and condition response management practices. Using harmonized collection high-resolution Planet CubeSat, Sentinel-2, Landsat-8 additional coarser resolution imagery from MODIS VIIRS, we exploit multi-satellite data fusion machine learning...
Detailed spatial representations of terrestrial vegetation are essential for precision agricultural applications and the monitoring land cover changes in heterogeneous landscapes. The advent satellite-based remote sensing has facilitated daily observations Earth's surface with high resolution. In particular, a data fusion product such as Planet Fusion realized delivery daily, gap-free reflectance 3-m pixel resolution through full utilization relatively recent (i.e., 2018-) CubeSat...