Search Results - Sense data.

Rainfall-Runoff Modeling Using Crowdsourced Water Level Data by Weeser, B., Jacobs, S., Kraft, P., Rufino, Mariana C., Breuer, Lutz

“…Additionally, we applied a filtering scheme (F), where we removed parameter sets, which resulted in a runoff that did not agree with the water balance derived from measured precipitation and publicly available remotely sensed evapotranspiration data. For the Q‐NSE scheme, we achieved a mean NSE of 0.88, while NSEs of 0.43 and 0.36 were found for Q‐SR and CS‐SR, respectively. …”
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Training workshop on the Small Reservoirs Dashboard: from data to decision by Akpoti, Komlavi, Appiah, Sarah, Zwart, Sander J.

“…The Training Workshop on the Small Reservoirs Dashboard, held in Accra and Tamale, aimed to build stakeholder capacity to use the Small Reservoirs Data Portal for aquaculture development, water management, and evidence-based planning. …”
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Framskrivning av ALS data med TanDEM-X by Wästlund, André

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Comparison of high-throughput plant phenotyping (HTPP) approaches to measure radiation use efficiency, a critical trait for improving yields in future by CGIAR Research Program on Wheat

Subjects: “…data…”
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The added value of high-resolution above coarse-resolution remote sensing images in crop yield forecasting: A case study in the Egyptian Nile Delta by Droogers, Peter, Dam, Jos C. van, Simons, G., Voogt, M., Terink, W.

“…Remote sensing images are often used in crop growth models because remote sensing images provide spatially distributed input data to these models. …”
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Remote sensing-based land degradation assessment to inform sustainable development goal 15.3: a case study in Ghanaian Savannah, West Africa by Mukura, G.J

“…The study methods comprised 250m Modis data and high-resolution remote sensing images in 30m Landsat data and subsequently survey from the International Institute for Tropical Agriculture. …”
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Dynamics of land-use and land-cover change in Freetown, Sierra Leone and its effects on urban and peri-urban agriculture: a remote sensing approach by Forkuor, Gerald, Cofie, Olufunke O.

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Tracking Rangeland Degradation from Prosopis Invasion in Kenyan Rangeland: A Multi-Source Approach Combining Remote Sensing, Machine Learning and Citizen Science by Cherotich, Fredah, Galgallo, Diba, Dhulipala, Ram, Whitbread, Anthony M, Paliwal, Ambica

“…This study presents an integrative approach that combines satellite remote sensing, machine learning, and participatory GIS (PGIS) to de-tect and map the spatial extent and socio-ecological impacts of Prosopis juliflora in Baringo County, Kenya. …”
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Satellite-based Tracking of Agricultural Adaptation Progress in Sub-Saharan Africa by Reymondin, Louis

“…To this end, we piloted a new approach, the Biomass Climate Adaptation Index (Biomass CAI), for measuring agricultural adaptation progress in Ethiopia across multiple scales using satellite remote sensing data. The Biomass CAI can monitor agri-biomass productivity associated with adaptation interventions remotely and facilitate more tailored precision adaptation. …”
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Sensor mapping of Amazonian Dark Earths in deforested croplands by Söderström, Mats, Eriksson, Jan, Isendahl, Christian, Pahl Schaand, Denise, Stenborg, Per, Rebellato, Lilian, Piikki, Kristin

“…In this paper we assess the potential of satellite remote sensing and proximal soil sensing to map, predict and monitor ADEs in land affected by agro-industrial development. …”
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Suitability evaluation for lowland rice in inland valleys in West Africa. In Japanese by Fujii, H., Gumma, Murali K., Thenkabail, Prasad S., Namara, Regassa E.

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Dataset: Census of individual trees of Tucunare Vichada (2020) by Ruiz-Hurtado, Andres Felipe, Pérez Bolaños, Juliana, Arrechea-Castillo, Darwin Alexis, Matiz Rubio, Natalia, Costa Junior, Ciniro, Arango Mejia, Jacobo, Cardoso Arango, Juan Andres

“…This dataset contains information of individual trees in Tucunare, Vichada-Colombia extracted from remote sensing imagery processed using AI models. Information from the High Resolution 1-meter Global Canopy Heights map from Meta-AI. …”
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Census of individual trees of Tucunare Vichada (2023) by Ruiz-Hurtado, Andres Felipe, Pérez Bolaños, Juliana, Arrechea-Castillo, Darwin Alexis, Matiz Rubio, Natalia, Costa Junior, Ciniro, Arango Mejia, Jacobo, Cardoso Arango, Juan Andres

“…Metodology: The tree information for this dataset was obtained using a custom QGIS plugin (TreeEyed) and python scripting, designed to process high-resolution RGB remote sensing imagery to derive tree data. Leveraging AI pretrained models, in this case Meta's HighResCanopyHeight model was employed. …”
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Census of individual trees of Hacienda San Jose Vichada (2023) by Ruiz-Hurtado, Andres Felipe, Pérez Bolaños, Juliana, Arrechea-Castillo, Darwin Alexis, Matiz Rubio, Natalia, Costa Junior, Ciniro, Arango Mejia, Jacobo, Cardoso Arango, Juan Andres

“…Metodology:The tree information for this dataset was obtained using a custom QGIS plugin (TreeEyed) and python scripting, designed to process high-resolution RGB remote sensing imagery to derive tree data. Leveraging AI pretrained models, in this case Meta's HighResCanopyHeight model was employed. …”
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What rainfall does not tell us—Enhancing financial instruments with satellite-derived soil moisture and evaporative stress by Enenkel, Markus, Farah, Carlos, Hain, Christopher, White, Andrew, Anderson, Martha, You, Liangzhi, Wagner, Wolfgang, Osgood, Daniel

Subjects: “…spatial data…”
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Shared water resources information from space: New management opportunities or unwanted interference? by Bastiaanssen, Wim G.M.

Subjects: “…remote sensing…”
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A new technique to estimate net groundwater use across large irrigated areas by combining remote sensing and water balance approaches, Rechna Doab, Pakistan by Ahmad, Mobin-ud-Din, Bastiaanssen, Wim G.M., Feddes, R.A.

“…Records of routine climatic data, canal discharges at major offtakes, phreatic surface depth fluctuations, and simplified information on soil textural properties are required as input data into this new Geographic Information System and Remote Sensing tool. …”
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Evaluating MODIS-vegetation continuous field products to assess tree cover change and forest fragmentation in India: a multi-scale satellite remote sensing approach by Amarnath, Giriraj, Babar, S., Murthy, M.S.R.

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In-Field Forage Biomass and Quality Prediction Using Image and VIS-NIR Proximal Sensing with Machine Learning and Covariance-Based Strategies for Livestock Management in Silvopasto... by Serpa Imbett, Claudia M., Gómez Palencia, Erika L., Medina Herrera, Diego A., Mejía Luquez, Jorge A., Martínez, Remberto R., Burgos Paz, William O., Aguayo Ulloa, Lorena A.

“…Data collection was conducted using a cellphone camera and a handheld VIS-NIR spectrometer. …”
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Assessing climate resilience in rice production: Measuring the impact of the Millennium Challenge Corporation’s IWRM scheme in the Senegal River Valley using remote sensing and mac... by Fionnagáin, D.Ó., Geever, M., O’Farrell, J., Codyre, P., Trearty, R., Tessema, Y.M., Reymondin, Louis, Loboguerrero, Ana Maria, Spillane, Charlie, Golden, A

“…Economic analysis of increased rice yields in the region translates to approximately US\$ 61.2 million in market value since 2015, highlighting the economic returns from the project investment. Both the remote sensing data and ground audits identify issues regarding post-project deterioration of irrigation infrastructure, emphasising the need for long-term maintenance of irrigation infrastructure to support climate adaptation benefits arising from irrigation. …”
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