Search Results - "Oliphant, Adam"

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 by Teluguntla, Pardhasaradhi, Thenkabail, Prasad S, Oliphant, Adam, Xiong, Jun, Gumma, Murali Krishna, Congalton, Russell G., Yadav, Kamini, Huete, Alfredo

“…[Display omitted] •Demonstrated a paradigm shift in continent-scale 30-m Landsat cropland mapping.•Captured spatial extent of very small to very large farms in…”
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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 by Xiong, Jun, Thenkabail, Prasad S., Tilton, James C., Gumma, Murali K., Teluguntla, Pardhasaradhi, Oliphant, Adam, Congalton, Russell G., Yadav, Kamini, Gorelick, Noel

“…A satellite-derived cropland extent map at high spatial resolution (30-m or better) is a must for food and water security analysis. Precise and accurate global…”
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Crop Water Productivity from Cloud-Based Landsat Helps Assess California’s Water Savings by Foley, Daniel, Thenkabail, Prasad, Oliphant, Adam, Aneece, Itiya, Teluguntla, Pardhasaradhi

“…Demand for food and water are increasing while the extent of arable land and accessible fresh water are decreasing. This poses global challenges as economies…”
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New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification by Aneece, Itiya, Foley, Daniel, Thenkabail, Prasad, Oliphant, Adam, Teluguntla, Pardhasaradhi

“…Thoroughly investigating the characteristics of new generation hyperspectral and high spatial resolution spaceborne sensors will advance the study of…”
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A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades by Foley, Daniel J., Thenkabail, Prasad S., Aneece, Itiya P., Teluguntla, Pardhasaradhi G., Oliphant, Adam J.

“…The overarching goal of this study was to perform a comprehensive meta-analysis of irrigated agricultural Crop Water Productivity (CWP) of the world's three…”
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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 by Gumma, Murali Krishna, Thenkabail, Prasad S., Teluguntla, Pardhasaradhi G., Oliphant, Adam, Xiong, Jun, Giri, Chandra, Pyla, Vineetha, Dixit, Sreenath, Whitbread, Anthony M

“…The South Asia (India, Pakistan, Bangladesh, Nepal, Sri Lanka and Bhutan) has a staggering 900 million people (~43% of the population) who face food insecurity…”
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Extraction of Lignocellulose and Synthesis of Porous Silica Nanoparticles from Rice Husks: A Comprehensive Utilization of Rice Husk Biomass by Chen, Haoran, Wang, Weixing, Martin, Jarett C, Oliphant, Adam J, Doerr, Paige A, Xu, Jeffery F, DeBorn, Katelyn M, Chen, Caixing, Sun, Luyi

“…Rice husk (RH) biomass is a massive byproduct from rice milling. Applications of RHs have been very limited. Therefore, RHs are often considered as a biowaste…”
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Reconstructing disturbance history for an intensively mined region by time-series analysis of Landsat imagery by Li, Jing, Zipper, Carl E., Donovan, Patricia F., Wynne, Randolph H., Oliphant, Adam J.

“…Surface mining disturbances have attracted attention globally due to extensive influence on topography, land use, ecosystems, and human populations in…”
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Autumn olive (Elaeagnus umbellata) presence and proliferation on former surface coal mines in Eastern USA by Oliphant, Adam J., Wynne, R. H., Zipper, C. E., Ford, W. M., Donovan, P. F., Li, Jing

“…Invasive plants threaten native plant communities. Surface coal mines in the Appalachian Mountains are among the most disturbed landscapes in North America,…”
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Mapping cropland fallow areas in myanmar to scale up sustainable intensification of pulse crops in the farming system by Gumma, Murali Krishna, Thenkabail, Prasad S, Deevi, Kumara Charyulu, Mohammed, Irshad A, Teluguntla, Pardhasaradhi, Oliphant, Adam, Xiong, Jun, Aye, Tin, Whitbread, Anthony M

“…Cropland fallows are the next best-bet for intensification and extensification, leading to increased food production and adding to the nutritional basket. The…”
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Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000-2015) data by Teluguntla, Pardhasaradhi, Thenkabail, Prasad S., Xiong, Jun, Gumma, Murali Krishna, Congalton, Russell G., Oliphant, Adam, Poehnelt, Justin, Yadav, Kamini, Rao, Mahesh, Massey, Richard

“…Mapping croplands, including fallow areas, are an important measure to determine the quantity of food that is produced, where they are produced, and when they…”
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Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA by Oliphant, Adam J., Thenkabail, Prasad S., Teluguntla, Pardhasaradhi G., Aneece, Itiya P., Foley, Daniel J., McCormick, Richard L.

“…ABSTRACTCropland fallowing is choosing not to plant a crop during a season when a crop is normally planted. It is an important component of many crop rotations…”
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New Generation and Old Generation Hyperspectral Remote Sensing Data and their Comparisons with Multispectral Data in the Study of Global Agriculture and Vegetation by Thenkabail, Prasad S., Aneece, Itiya, Teluguntla, Pardhasaradhi, Oliphant, Adam, Foley, Daniel

“…Great advances in remote sensing are taking place with new generation of spaceborne hyperspectral sensors such as the DESIS and PRISMA which are already…”
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New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification by Aneece, Itiya, Foley, Daniel, Thenkabail, Prasad, Oliphant, Adam, Teluguntla, Pardhasaradhi

“…Thoroughly investigating the characteristics of new generation hyperspectral and high spatial resolution spaceborne sensors will advance the study of…”
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