Search Results - Sense data.

Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin by Simons, Gijs, Bastiaanssen, Wim G.M.

“…We demonstrate how global remotely sensed P and ETact datasets can be merged to examine hydrological processes such as storage changes and streamflow prior to applying a numerical simulation model. …”
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Replication Data for: Restoration Database for Latin America and the Caribbean. Comparative Research Project on Landscape Restoration for Emissions Reductions, CIAT/WUR project for... by Romijn, J.E., Coppus, Ruben

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Unveiling Drought-Resilient Pathways: Integrating High Throughput Phenotyping and Multivariate Modeling to Enhance Barley Adaptation to Climate Change by Ouahid, Safae, Backhaus, Anna Elisabeth, Jimenez, José-Antonio, Visioni, Andrea, Sanchez-Garcia, Miguel

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Early season prevented and failed rice sowing detection using temporal Synthetic Aperture Radar data in coastal India for crop insurance applications by Murugesan, Deiveegan, Renaud, Mathieu

“…Leveraging open-source satellite data and fostering strategic partnerships, the claims process can be enhanced and benefiting both farmers and insurance stakeholders.…”
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Spatial evapotranspiration, rainfall and land use data in water accounting - part 2: reliability of water accounting results for policy decisions in the Awash Basin by Karimi, P., Bastiaanssen, Wim G.M., Sood, A., Bastidas-Obando, E., Dost, R.

“…The framework is designed to use satellite-based measurements of land and water variables and processes as input data. A general concern associated with the use of satellite measurements is their accuracy. …”
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Flood mapping tools for disaster preparedness and emergency response using satellite data and hydrodynamic models: a case study of Bagmathi Basin, India by Amarnath, Giriraj, Matheswaran, Karthikeyan, Pandey, Pooja, Alahacoon, Niranga, Yoshimoto, Shuhei

“…The main objective of this study is to demonstrate the utility of less data intensive, but equally robust hydrodynamic models to develop flood extent maps in conjunction with freely available remote sensing imageries at different scales. …”
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Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500 m data for the year 2010 by Gumma, Murali K., Thenkabail, Prasad S., Maunahan, A, Islam, S., Nelson, A.

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Evaluations of satellite/reanalysis rainfall and temperature products in the Bale Eco-Region (southern Ethiopia) to enhance the quality of input data for hydro-climate studies by Gashaw, T., Worqlul, A. W., Lakew, Haileyesus, Taye, Meron Teferi, Seid, Abdulkarim, Haileslassie, Amare

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Metod för kartläggning av lövråvara i Södra Skogs verksamhetsområde by Jonsson, Elin

Analysis of multi-temporal SPOT NDVI images for small-scale land-use mapping by Bie, C.A.J.M. de, Khan, M.R., Smakhtin, Vladimir U., Venus, V., Weir, M.J.C., Smaling, E.M.A.

“…This article presents a novel method to compile spatial and temporal land-use data sets using multi-temporal remote sensing in combination with existing data sources. …”
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Palm Oil Polygons for Ucayali Province, Peru (2019-2020) by Fricker, Geoffrey, Nielsen, Kylee, Clark, Isabella, Davis, Jaxson, Bates, Sarah, Davis, Isabella, Pinto, Naira

“…The major variables in our study were the spatial extents of the palm oil plantations, whether they were open or closed canopy, and the imagery data source (2020-01-01)…”
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Integrated water storage assessment in the Tana-Beles Sub-basin, Ethiopia by Taye, Meron Teferi, Assefa, T. T., Ebrahim, Girma Yimer, Lautze, Jonathan F., Seid, Abdulkarim

“…This study therefore assessed water storage in different storage types and their temporal dynamics using remote sensing and secondary data in the Tana-Beles sub-basin of Ethiopia. …”
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Towards a performance-oriented management for large-scale irrigation systems: case study, Rahad scheme, Sudan by Hamid, S.H., Mohamed, A.A., Mohamed, Yasir Abbas

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Coupled forest zoning and agricultural intervention yields conflicting outcomes for tropical forest conservation in the Democratic Republic of the Congo (DRC) by Nackoney, J., Demol, M., Akpona, H.A., Bauters, M., Boeckx, P., Dupain, J., Facheux, C., Hansen, M.C., Kalemba, J.C., Kehbila, A.G., Potapov, P., Senga, A.T., Six, Johan, Turubanova, S.A., Williams, D., Vanlauwe, Bernard

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Identificación de campos de precipitación mediante el uso de radares meteorológicos: una alternativa para mejorar las estimaciones espaciales de las lluvias by Salvó, Constanza Sofía, Baldassini, Pablo, Di Bella, Carlos Marcelo

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Study of ecosystem degradation dynamics in the Peruvian Highlands: Landsat time-series trend analysis (1985–2022) with ARVI for different vegetation cover types by Cano, Deyvis, Pizarro Carcausto, Samuel Edwin, Cacciuttolo, Carlos, Peñaloza, Richard, Yaranga Cano, Raul Marino, Gandini, Marcelo Luciano

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Measuring above-ground carbon stock using spatial analysis and the InVEST model: Application in the Thoria Watershed, India by Guo, Zhe, Hettiarachchi, Upeksha

“…We analyze land cover changes in the Thoria watershed between the years 2000, 2020 and future scenarios, and subsequently map the above-ground carbon stock using the InVEST model along with remotely sensed data. The land use products and above-ground carbon stock modelling results can be used by diverse stakeholders to support land use planning, especially decisions around how to allocate land resource to balance food production, carbon sequestration, and other ecosystem services provided by common lands. …”
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Forty-year multi-scale land cover change and political ecology data reveal a dynamic and regenerative process of forests in Peruvian Indigenous Territories by Bennett, A., Larson, A.M., Zamora Ríos, A., Monterroso, I., Sheila, G.

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Modeling turbidity of aquaculture pond in the East Kolkata Wetlands using Sentinel-2 bands and ground data through multivariate regression on Google Earth Engine by Mullick, A., Ghosh, Surajit, Chowdhury, A., Bhattacharyya, S.

“…This hybrid approach of combining remote sensing data and geostatistical analysis offers a high-throughput, cost-effective monitoring framework and a decision-support tool for sustainable wetland management.…”
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Critical assessment of cocoa classification with limited reference data: A study in Côte d’Ivoire and Ghana using sentinel-2 and random forest model by Moraiti, Nikoletta, Mullissa, Adugna, Rahn, Eric, Sassen, Marieke, Reiche, Johannes

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