Pages that link to "Item:Q48390"

The following pages link to Adam J. Oliphant (Q48390):

Displayed 18 items.

• Planetary defense preparedness: Identifying the potential for post-asteroid impact time delayed and geographically displaced hazards (Q145869) ‎ (← links)
• Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using Random Forest classifier on Google Earth Engine (Q149744) ‎ (← links)
• New generation hyperspectral data From DESIS compared to high spatial resolution PlanetScope data for crop type classification (Q150706) ‎ (← links)
• Global Crop Water Productivity and Savings through waterSMART (GCWP) (Q226822) ‎ (← links)
• Global Food-and-Water Security-support Analysis Data (GFSAD) (Q226994) ‎ (← links)
• Global Hyperspectral Imaging Spectral-library of Agricultural-Crops & Vegetation (GHISA) (Q228788) ‎ (← links)
• Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data (Q239245) ‎ (← links)
• Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud (Q256362) ‎ (← links)
• Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA (Q258186) ‎ (← links)
• A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades (Q262107) ‎ (← links)
• Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system (Q263114) ‎ (← links)
• Crop water productivity from cloud-Based landsat helps assess California’s water savings (Q265225) ‎ (← links)
• A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform (Q273589) ‎ (← links)
• Nominal 30-m cropland extent map of continental Africa by integrating pixel-based and object-based algorithms using Sentinel-2 and Landsat-8 Data on Google Earth Engine (Q274041) ‎ (← links)
• Hyperspectral narrowband data propel gigantic leap in the earth remote sensing (Q298574) ‎ (← links)
• Data Supporting Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA (Q318892) ‎ (← links)
• PlanetScope and DESIS spectral library of agricultural crops in California's Central Valley for the 2020 growing season (Q325625) ‎ (← links)
• Download rates of the Global Food-Security-Support-Analysis Data at 30-m Resolution (GFSAD30) Cropland-Extent Products (Q326562) ‎ (← links)