Resultados de búsqueda - "Sense data."

Mapping basin level water productivity using remote sensing and secondary data in the Karkheh River Basin, Iran por Ahmad, Mobin-ud-Din, Islam, Aminul, Masih, Ilyas, Muthuwatta, Lal P., Karimi, Poolad, Turral, Hugh

“…For analysis from sub-catchment to basin scale, we assessed economic WP, in terms of gross value of production per unit of actual evapotranspiration, for all agricultural enterprises including rainfed and irrigated agriculture, livestock production and overall vegetation production using remote sensing data and routine secondary data/agricultural statistics. …”
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Big data and multiple methods for mapping small reservoirs: comparing accuracies for applications in agricultural landscapes por Jones, S.K., Fremier, Alexander K., DeClerck, Fabrice A.J., Smedley, D., Ortega Pieck, A., Mulligan, M.

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Assessing change in national forest monitoring capacities of 99 tropical countries por Romijn, E., Lantican, C.B., Herold, Martin, Lindquist, E., Ochieng, R., Wijaya, A., Murdiyarso, Daniel, Verchot, Louis V.

“…This effect is related to more free and open remote sensing data and availability of techniques to improve forest area change monitoring. …”
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Evaluation of digital surface model data to improve forest biomass estimation from SPOT HRG por Hlaing, Myint

“…The study area covers approximately 7800 hectares and is characterized by boreal forest dominated by Norway spruce (Picea abies) and Scots pine (Pinus sylvestris). The remotely sensed data derived spectral bands and canopy heights (CHMs) were used to fit regression models and to perform cross validation at plot level to estimate aboveground biomass. …”

The Pest Severity, Insecticide Application, and Land Use Data for 51 Counties in China, 1991-2015 por International Food Policy Research Institute, Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Government of China, Chinese Academy of Sciences

“…County-level land use data were drawn from a national land cover/use database developed by the Chinese Academy of Sciences, using satellite remote-sensing data from the Landsat Thematic Mapper/Enhanced Thematic Mapper images. …”
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Synergistic use of Sentinel-1 and Sentinel-2 data for Fall Armyworm infestation detection and mapping in maize croplands por Dzurume, Tatenda, Darvishzadeh, Roshanak, Dube, Timothy, Amjath-Babu, T.S., Billah, Mutasim, Syed Nurul Alam, Kamal, Mustafa, Harun-Or-Rashid, Md., Biswas, Badal Chandra, Uddin, Md. Ashraf, Md. Abdul Muyeed, Rahman Shah, Md Mostafizur, Krupnik, Timothy Joseph, Nelson, Andrew

“…These results underscore the potential of integrating multi-source remote sensing data for scalable and accurate pest detection. …”
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Capabilities of Landsat 5 Thermatic Mapper data in regional mapping and characterization of inland valley agroecosystems in West Africa por Thenkabail, Prasad S., Nolte, C.

“…These results indicate the strength of the methodology to rapidly map and characterize inland valley agroecosystems at regional level using high-resolution remotely sensed data.…”
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High-resolution global map of smallholder and industrial closed-canopy oil palm plantations por Descals, A., Wich, S., Meijaard, E., Gaveau, D.L.A., Peedell, S., Szantoi, Z.

“…Recent advances in deep-learning and remotely sensed data access make it possible to address this gap. …”
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Paddy rice methane emissions across Monsoon Asia por Ouyang, Zutao, Jackson, Robert B., McNicol, Gavin, Fluet-Chouinard, Etienne, Runkle, Benjamin R.K., Papale, Dario, Knox, Sara H., Cooley, Sarah, Delwiche, Kyle B., Feron, Sarah, Irvin, Jeremy Andrew, Malhotra, Avni, Muddasir, Muhammad, Sabbatini, Simone, Alberto, Ma. Carmelita R., Cescatti, Alessandro, Chen, Chi-Ling, Dong, Jinwei, Fong, Bryant N., Guo, Haiqiang, Hao, Lu, Iwata, Hiroki, Jia, Qingyu, Ju, Weimin, Kang, Minseok, Li, Hong, Kim, Joon, Reba, Michele L., Nayak, Amaresh Kumar, Roberti, Debora Regina, Ryu, Youngryel, Swain, Chinmaya Kumar, Tsuang, Benjei, Xiao, Xiangming, Yuan, Wenping, Zhang, Geli, Zhang, Yongguang

“…Here, we combine paddy-rice methane-flux data from 23 global eddy covariance sites and MODIS remote sensing data with machine learning to 1) evaluate data-driven model performance and variable importance for predicting rice CH4 fluxes; and 2) produce gridded up-scaling estimates of rice CH4 emissions at 5000-m resolution across Monsoon Asia, where ∼87% of global rice area is cultivated and ∼ 90% of global rice production occurs. …”
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Remotely‐sensed primary productivity shows that domestic and native herbivores combined are overgrazing Patagonia por Oliva, Gabriel Esteban, Paredes, Paula Natalia, Ferrante, Daniela, Cepeda, Carla Tamara, Rabinovich, Jorge Eduardo

“…Overgrazing has degraded Patagonia, but sheep stocks decreased and gave way to mixed systems with cattle, goats and guanacos (native wild camelids). 2.The objective of this paper was to develop a method to estimate carrying capacity based on remotely sensed data, and to assess wild and domestic herbivore numbers in order to establish if grazing stocks have evolved to balance with carrying capacity. 3.Net Primary Productivity (NPP) MOD17/A3 images and field Aerial Net Primary Productivity (ANPP) data of 66 sites were linearly regressed (R2= 0.83, P<0.01), and the slope 0.236 used to convert MOD17/A3 NPP to ANPP. …”
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Can shallow groundwater sustain small-scale irrigated agriculture in Sub-Saharan Africa? evidence from N-W Ethiopia por Gowing, J., Walker, D., Parkin, G., Forsythe, N., Haile, Alemseged Tamiru, Ayenew, D.A.

“…Assessments of groundwater resources do exist, but they rely on remotely sensed data combined with modelling at national or regional scale, and they focus on deeper aquifers. …”
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Automated cropland mapping of continental Africa using Google Earth Engine cloud computing por Xiong, Jun, Thenkabail, Prasad S., Gumma, Murali K., Teluguntla, P., Poehnelt, J., Congalton, Russell, Yadav, K., Thau, D.

“…The automation of agricultural mapping using satellite-derived remotely sensed data remains a challenge in Africa because of the heterogeneous and fragmental landscape, complex crop cycles, and limited access to local knowledge. …”
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A method for using harvester data in airborne laser prediction of forest variables in mature coniferous stands por Söderberg, Jon

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Identifying with interested AMS the main gaps in the current data available and building on this a strategy for generating an enhanced database, targeting soil health across priori... por Huq, Rafiq, Lesueur, Didier

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Estimation of height and aerial biomass in Eucalyptus globulus plantations using UAV-LiDAR por Enriquez Pinedo, Lucía, Ortega Quispe, Kevin, Ccopi Trucios, Dennis, Urquizo Barrera, Julio, Rios Chavarría, Claudia, Pizarro Carcausto, Samuel, Matos Calderon, Diana, Patricio Rosales, Solanch, Rodríguez Cerrón, Mauro, Ore Aquino, Zoila, Paz Monge, Michel, Castañeda Tinco, Italo

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A multi-resolution approach to national-scale cultivated area estimation of soybean por King, LeeAnn, Adusei, Bernard, Stehman, Stephen V., Potapov, Peter V., Xiao-Peng, Song, Krylov, Alexander, Di Bella, Carlos Marcelo, Loveland, Thomas R., Johnson, David M., Hansen, Matthew C.

“…Satellite remote sensing data can provide timely, accurate, and objective information on cultivated area by crop type and, in turn, facilitate accurate estimates of crop production. …”
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Metoder för höjdkorrigering av punktmoln generade från drönarbilder por Isaksson, Joakim, Johansson, Lars

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Mobility, habitat selection and population connectivity of Lycaena helle in central Sweden : implications for conservation por Modin, Hanna

“…A resource selection function was used to identify important predictors of L. helle occurrence among five variables computed from remote-sensed data; vegetation height, variation in vegetation, solar radiation, slope and aspect. …”

Una herramienta para monitorear sequías en regiones áridas y semiáridas de Patagonia Norte por Easdale, Marcos Horacio, Lopez, Dardo Ruben, Bianchi, Emilio, Bruzzone, Octavio Augusto, Villagra, Edgar Sebastian, Siffredi, Guillermo Lorenzo, Gaitan, Juan Jose, Umaña, Fernando, Oricchio, Patricio

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Caracterización regional de la estructura y de la productividad de la vegetación de la Puna mediante el uso de imágenes MODIS por Baldassini, Pablo, Volante, Jose Norberto, Califano, Laura Maria, Paruelo, José María

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