Search Results - Sense data.

  1. Integrating GIS and remote sensing for land use/land cover mapping and groundwater potential assessment for climate-smart cocoa irrigation in Ghana by Akpoti, Komlavi, Dembélé, Moctar, Forkuor, G., Obuobie, E., Mabhaudhi, Tafadzwanashe, Cofie, Olufunke O.

    Published 2023
    “…Utilizing state-of-the-art geospatial and remote sensing tools, data, and methods, alongside in-situ groundwater data, we assess the irrigation potential within Ghana's cocoa-growing areas. …”
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    Journal Article
  2. Remote sensing analysis reveals habitat, dispersal corridors and expanded distribution for the Critically Endangered Cross River gorilla Gorilla gorilla diehli by Bergl, R., Warren, Y., Nicholas, A., Dunn, A., Imong, I., Sunderland-Groves, J., Oates, J.

    Published 2011
    “…The Critically Endangered Cross River gorilla Gorilla gorilla diehli is threatened in particular by habitat disturbance because its population is small and it lives in an area where high human population density results in intense exploitation of natural resources. We used remotely-sensed data to assess the extent and distribution of gorilla habitat in the Cross River region and delineated potential dispersal corridors. …”
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    Journal Article
  3. Real-time satellite data for natural resources management by Technical Centre for Agricultural and Rural Cooperation

    Published 2004
    “…John Stephenson and Jim Williams explain how weather satellite data reception systems are making remote sensing data more accessible for a variety of local applications.…”
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    Magazine Article
  4. Developing land cover change methodology by combining remote sensing observations and pastoralist understandings : a case study in southern Tamil Nadu, India by Wennström, Patrick

    Published 2016
    “…Pastoralists in India are experiencing increased difficulties to sustain their livelihood, which is partly due to deterioration and diminishment of the pastoral lands that they depend on. Remote sensing (RS) is a powerful tool for investigating large-scale land cover change dynamics; however, a more complete and socially aware analysis of land cover change can be produced when incorporating qualitative data into the analysis. …”
    H2
  5. Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale by Kissling, W. Daniel, Ahumada, Jorge A., Bowser, Anne, Fernández, Miguel, Fernández, Néstor, García, Enrique Alonso, Guralnick, Robert P., Isaac, Nick J. B., Kelling, Steve, Los, Wouter, McRae, Louise, Mihoub, Jean-Baptiste, Obst, Matthias, Santamaria, Monica, Skidmore, Andrew K., Williams, Kristen J., Agosti, Donat, Amariles, Daniel, Arvanitidis, Christos, Bastin, Lucy, Leo, Francesca de, Egloff, Willi, Elith, Jane, Hobern, Donald, Martin, David, Pereira, Henrique M., Pesole, Graziano, Peterseil, Johannes, Saarenmaa, Hannu, Schigel, Dmitry, Schmeller, Dirk S., Segata, Nicola, Turak, Eren, Uhlir, Paul F., Wee, Brian, Hardisty, Alex R.

    Published 2018
    “…They depend on clear, findable and accessible metadata, and we provide an overview of current data and metadata standards. Several challenges remain to be solved for building global EBV data products: (i) developing tools and models for combining heterogeneous, multi-source data sets and filling data gaps in geographic, temporal and taxonomic coverage, (ii) integrating emerging methods and technologies for data collection such as citizen science, sensor networks, DNA-based techniques and satellite remote sensing, (iii) solving major technical issues related to data product structure, data storage, execution of workflows and the production process/cycle as well as approaching technical interoperability among research infrastructures, (iv) allowing semantic interoperability by developing and adopting standards and tools for capturing consistent data and metadata, and (v) ensuring legal interoperability by endorsing open data or data that are free from restrictions on use, modification and sharing. …”
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    Journal Article
  6. Developing automated machine learning approach for fast and robust crop yield prediction using a fusion of remote sensing, soil, and weather dataset by Kheir, Ahmed M.S., Govind, Ajit, Nangia, Vinay, Devkota Wasti, Mina Kumari, Elnashar, Abdelrazek, Omar, Mohie, Feike, Til

    Published 2024
    “…The developed approach could be used as a rapid, accurate and low-cost method to predict yield for stakeholder farms all over the world where ground data is scarce.…”
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    Journal Article
  7. Drought Monitoring and assessment using earth observation data for Zambia by Amarnath, Giriraj, Alahacoon, Niranga

    Published 2022
    “…This study attempts to identify the spatial-temporal extent of the agricultural drought in Zambia using remote sensing data and crop production. IDSI is superior in terms of its performance and drought detection capability and is characterized by better representation of drought severity. …”
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    Informe técnico
  8. Water resources data and information exchange in transboundary water treaties by Gerlak, A.K., Lautze, Jonathan F., Giordano, Mark

    Published 2011
    “…The results indicate that data and information exchange as already practiced is more nuanced and, in some senses, widespread than may commonly be recognized. …”
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    Journal Article
  9. Enviromics: bridging different sources of data, building one framework by Costa-Neto, Germano, Fritsche-Neto, Roberto

    Published 2021
    “…Enviromics is the field of applied data science that integrates databases of environmental factors into biostatistics and quantitative genetics. …”
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    Journal Article

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