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1. Atmospheric Inversion of the Global Surface Carbon Flux with Consideration of the Spatial Distributions of US Crop Production and Consumption
by Fung, Jonathan Winston
11/2012
Carbon dioxide is taken up by crops during production and released back to the atmosphere at different geographical locations through respiration of consumed... 
crop production | carbon flux | 0425 | US cropland | 0368 | cropland carbon | Atmospheric inversion | crop consumption | 0725
Dissertation
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2. Full Text Linking the price of agricultural land to use valuesand amenities
by Borchers, Allison and Ifft, Jennifer and Kuethe, Todd
American Journal of Agricultural Economics, ISSN 0002-9092, 2014, Volume 96, Issue 5, pp. 1307 - 1320
Cropland | Pasture | Farmland values
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3. Full Text How reliable are cultivated land assets as social security for Chinese farmers?
by Wang, Yahui and Li, Xiubin and He, Huiyan and Xin, Liangjie and Tan, Minghong
Land Use Policy, ISSN 0264-8377, 01/2020, Volume 90, p. 104318
The social security theory of cropland, which considers cropland as being the lifeblood or having a social security function, has been accepted in political... 
Land abandonment | Mountainous areas | Cropland contract rights | Rent-free land transfer | Social security theory of cropland
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4. Full Text An automated cropland classification algorithm (ACCA) for Tajikistan by combining landsat, MODIS, and secondary data
by Thenkabail, Prasad S and Wu, Zhuoting
Remote Sensing, ISSN 2072-4292, 10/2012, Volume 4, Issue 10, pp. 2890 - 2918
The overarching goal of this research was to develop and demonstrate an automated Cropland Classification Algorithm (ACCA) that will rapidly, routinely, and... 
Classification accuracy | mega file data cube (MFDC) | croplands | Landsat | ACCA generated cropland layer (ACL) | truth or reference cropland layer (TCL) | Modis | Automated cropland classification algorithm (ACCA) | Remote sensing | Tajikistan | MULTITEMPORAL MODIS | RESOLUTION | AIRBORNE HYPERSPECTRAL IMAGERY | remote sensing | CENTRAL GREAT-PLAINS | classification accuracy | MODIS | USE/LAND-COVER LULC | NDVI DATA | TIME-SERIES | TRAINING DATA | automated cropland classification algorithm (ACCA) | BASIN | IRRIGATED AREA
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5. Full Text MODIS phenology-derived, multi-year distribution of conterminous U.S. crop types
by Massey, Richard and Sankey, Temuulen T and Congalton, Russell G and Yadav, Kamini and Thenkabail, Prasad S and Ozdogan, Mutlu and Sánchez Meador, Andrew J
Remote Sensing of Environment, ISSN 0034-4257, 09/2017, Volume 198, pp. 490 - 503
Innovative, open, and rapid methods to map crop types over large areas are needed for long-term cropland monitoring. We developed two novel and automated... 
NDVI time-series | Cropland data layer | MOD09Q1 | United States croplands | Generalized classifier | Adjusted kappa | Cropland mapping | UNITED-STATES | WATER-USE | NOAA-AVHRR | FOOD SECURITY | NATIONAL AGRICULTURAL STATISTICS | ANCILLARY DATA | CENTRAL GREAT-PLAINS | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | ENVIRONMENTAL SCIENCES | REMOTE SENSING | COVER CHARACTERISTICS DATABASE | ATMOSPHERIC CORRECTION | MODO9Q1 | SPATIAL-RESOLUTION | Investment analysis | Environmental sustainability | Analysis | Agricultural land | Precipitation (Meteorology) | Food supply | Environmental protection
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6. Full Text Phosphorus Availabilities Differ between Cropland and Forestland in Shelterbelt Systems
by Chang, Scott X and Manimel Wadu, Mihiri C.W and Ma, Fengxiang
Forests, ISSN 1999-4907, 11/2019, Volume 10, Issue 11, p. 1001
Shelterbelt systems play pivotal roles in providing goods and services to the rural community and the society at large, but phosphorus (P) cycling in... 
fractionation | cropland | forestland | sorption | phosphorus
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7. Full Text Global assessment of urban and peri-urban agriculture: Irrigated and rainfed croplands
by Thebo, A.L and Drechsel, P and Lambin, E.F
Environmental Research Letters, ISSN 1748-9318, 11/2014, Volume 9, Issue 11, p. 114002
The role of urban agriculture in global food security is a topic of increasing discussion. Existing research on urban and peri-urban agriculture consists... 
Urban croplands | Urban land use | Food security | Urban and peri-urban agriculture | Spatial analysis | Rainfed croplands | Irrigated croplands | ENVIRONMENTAL SCIENCES | spatial analysis | food security | GROWTH | CITIES | irrigated croplands | rainfed croplands | METEOROLOGY & ATMOSPHERIC SCIENCES | urban land use | urban croplands | urban and peri-urban agriculture
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8. Full Text Effects of China’s payment for ecosystem services programs on cropland abandonment: A case study in Tiantangzhai Township, Anhui, China
by Zhang, Qi and Song, Conghe and Chen, Xiaodong
Land Use Policy, ISSN 0264-8377, 04/2018, Volume 73, pp. 239 - 248
Cropland abandonment has emerged as a common phenomenon in land use transitions. Both cropland abandonment and Payment for Ecosystem Services (PES) programs... 
Ecological Welfare Forest Program | Cropland abandonment | China | Conversion of Cropland to Forest Program
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9. Full Text Forest restoration: Expanding agriculture
by Delzeit, R and Pongratz, J and Schneider, JM and Schuenemann, F and Mauser, W and Zabel, F
SCIENCE, ISSN 0036-8075, 10/2019, Volume 366, Issue 6463, pp. 316 - 316
LAND | CROPLAND EXPANSION | MULTIDISCIPLINARY SCIENCES | Restoration
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10. Full Text Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000
by Navin Ramankutty and Amato T. Evan and Chad Monfreda and Jonathan A. Foley
Global Biogeochemical Cycles, ISSN 0886-6236, 01/2008, Volume 22, Issue 1, pp. GB1003 - n/a
Agricultural activities have dramatically altered our planet's land surface. To understand the extent and spatial distribution of these changes, we have... 
Global Change | Impacts of global change | Biogeosciences | Data sets | Land cover change | agriculture | cropland | land use | pasture | land cover | global data | UNITED-STATES | CARBON BALANCE | CHINA | CLIMATE-CHANGE | CROP PRODUCTION | ENVIRONMENTAL SCIENCES | GEOSCIENCES, MULTIDISCIPLINARY | CHARACTERIZING PATTERNS | EARTH SYSTEM | METEOROLOGY & ATMOSPHERIC SCIENCES | CENSUS-DATA | COVER PRODUCTS | CROPLANDS
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11. Full Text Effects of farmland heterogeneity on biodiversity are similar to—or even larger than—the effects of farming practices
by Martin, Amanda E and Collins, Sara J and Crowe, Susie and Girard, Judith and Naujokaitis-Lewis, Ilona and Smith, Adam C and Lindsay, Kathryn and Mitchell, Scott and Fahrig, Lenore
Agriculture, Ecosystems and Environment, ISSN 0167-8809, 02/2020, Volume 288, p. 106698
Pressure to increase food production to meet the demands of a growing human population can make conservation-motivated recommendations to limit agricultural... 
Cropland | Landscape context | Agricultural intensification | Land sharing | Land management | Agroecosystem
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12. Full Text Tropical forests were the primary sources of new agricultural land in the 1980s and 1990s
by H. K. Gibbs and A. S. Ruesch and F. Achard and M. K. Clayton and P. Holmgren and N. Ramankutty and J. A. Foley
Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, 9/2010, Volume 107, Issue 38, pp. 16732 - 16737
Global demand for agricultural products such as food, feed, and fuel is now a major driver of cropland and pasture expansion across much of the developing... 
Tropical regions | Sustainable agriculture | Energy crops | Crops | Forest cover | Agricultural land | Tropical forests | Farmlands | Land cover | Tropical rain forests | Cropland | Deforestation | Biofuels | Carbon emissions | Expansion pathways | AMAZON | AREA | EMISSIONS | REGROWTH | MULTIDISCIPLINARY SCIENCES | cropland | biofuels | carbon emissions | expansion pathways | TERM | deforestation | CROPLANDS | Conservation of Natural Resources - trends | Trees | Crops, Agricultural - history | Agriculture - trends | History, 21st Century | Tropical Climate | Agriculture - history | History, 20th Century | United Nations | Crops, Agricultural - growth & development | Conservation of Natural Resources - history | Databases, Factual | United States | Agricultural industry | Environmental aspects | Forecasts and trends | History | Methods | Tropics | Environmental protection | Grasslands | Forests | Pasture | Landsat | tropical forests | Tropical environments | Emissions | agricultural land | Biological Sciences
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13. Full Text Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
by Xiong, Jun and Thenkabail, Prasad S and Gumma, Murali K and Teluguntla, Pardhasaradhi and Poehnelt, Justin and Congalton, Russell G and Yadav, Kamini and Thau, David
ISPRS Journal of Photogrammetry and Remote Sensing, ISSN 0924-2716, 04/2017, Volume 126, pp. 225 - 244
The automation of agricultural mapping using satellite-derived remotely sensed data remains a challenge in Africa because of the heterogeneous and fragmental... 
Google Earth Engine | Automated cropland mapping algorithm | Classification | Africa | Remote sensing products | Cropland mapping | MODIS | RICE PLANTING AREA | MACHINE LEARNING ALGORITHMS | GLOBAL LAND-COVER | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | ETM+ DATA | MODIS IMAGERY | IRRIGATED AREAS | GEOGRAPHY, PHYSICAL | GEOSCIENCES, MULTIDISCIPLINARY | REMOTE SENSING | SATELLITE DATA | CLASSIFICATION ALGORITHM ACCA | TIME-SERIES | AGRICULTURAL LANDSCAPES | Cloud computing | Forecasts and trends | Algorithms | Agricultural land | Remote sensing
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14. Full Text 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 and Thenkabail, Prasad S and Tilton, James C and Gumma, Murali K and Teluguntla, Pardhasaradhi and Oliphant, Adam and Congalton, Russell G and Yadav, Kamini and Gorelick, Noel
Remote Sensing, ISSN 2072-4292, 10/2017, Volume 9, Issue 10, p. 1065
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... 
Landsat-8 | Segmentation | Google Earth Engine | Africa | Sentinel-2 | 30-m | Cropland areas | RHSeg | Cropland mapping | Support Vector Machines | Random Forest | FOOD SECURITY | GLOBAL LAND-COVER | CLASSIFICATION | MODIS | REMOTE SENSING | cropland areas | DISCRIMINATION | TEMPORAL WINDOWS | TIME-SERIES | cropland mapping | segmentation | SELECTION | Cloud computing | Uncertainty | Downloading | Image processing | Spatial discrimination | Mapping | Statistical methods | Agricultural land | Pixels | Remote sensing | Training | Earth | Accuracy | Maps | Farms | Classification | Computer security | Productivity | Statistical analysis | Crops | Landsat | Data processing | I.R. radiation | Food production | Satellite imagery | Support vector machines | Image segmentation | Errors | Algorithms | Food security | Continents | Spatial resolution | Landsat satellites
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15. Full Text History of land use in India during 1880–2010: Large-scale land transformations reconstructed from satellite data and historical archives
by Tian, Hanqin and Banger, Kamaljit and Bo, Tao and Dadhwal, Vinay K
Global and Planetary Change, ISSN 0921-8181, 10/2014, Volume 121, pp. 78 - 88
In India, human population has increased six-fold from 200 million to 1200 million that coupled with economic growth has resulted in significant land use and... 
land use and land cover | remote sensing | historical land archives | cropland expansion | India | deforestation | Deforestation | Cropland expansion | Land use and land cover | Remote sensing | Historical land archives | UNCERTAINTIES | EMISSIONS | VEGETATION COVER | CHINA | TEMPORAL PATTERNS | GEOGRAPHY, PHYSICAL | GEOSCIENCES, MULTIDISCIPLINARY | PRODUCTIVITY | CARBON STORAGE | IGBP DISCOVER | CROPLAND | FLUXES | Satellite communications services industry | Analysis | Aquatic resources | Biogeochemical cycles | Land use | Human | Climate | Forests | Policies | Ecosystems | Archives
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