Search Results - Sense data.

  1. TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models by Ruiz-Hurtado, Andres Felipe, Bolaños, Juliana Perez, Arrechea-Castillo, Darwin Alexis, Cardoso, Juan Andres

    Published 2025
    “…Tree monitoring is a challenging task due to the labour-intensive and time-consuming data collection methods required. We present TreeEyed, a QGIS plugin designed to facilitate the monitoring of trees using remote sensing RGB imagery and artificial intelligence models. …”
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    Journal Article
  2. State of continental discharge estimation and modelling: challenges and opportunities for Africa by Akpoti, Komlavi, Mekonnen, Kirubel, Leh, Mansoor, Owusu, Afua, Dembélé, Moctar, Tinonetsana, Primrose, Seid, Abdulkarim, Velpuri, Naga Manohar

    Published 2024
    “…For example, incorporating water data products, including discharge data, in data cubes, such as Digital Earth Africa, could improve monitoring. …”
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    Journal Article
  3. Integrated hydrogeological modelling of hard-rock semi-arid terrain: supporting sustainable agricultural groundwater use in Hout catchment, Limpopo Province, South Africa by Ebrahim, Girma Yimer, Villholth, Karen G., Boulos, M.

    Published 2019
    “…An integrated hydrogeological modelling approach applicable to hard-rock aquifers in semi-arid data-scarce Africa was developed using remote sensing, rainfall-runoff modelling, and a three-dimensional (3D) dynamic model. …”
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    Journal Article
  4. Mapping Above Ground Carbon Storage and Sequestration in Thoria Watershed, India: A Spatially Explicit Ecosystem Service Assessment Using InVEST Model by Guo, Zhe, Sharma, Himani, Jadav, Mahesh, Zhang, Wei

    Published 2022
    “…The model summarizes results into raster outputs of storage, sequestration, and value, as well as aggregate totals. The ground truth data and remotely sensed data are used to calibrate the parameters of the model inputs. …”
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    Conference Paper
  5. Shining a Brighter Light: Comprehensive Evidence on Adoption and Diffusion of CGIAR-related Innovations in Ethiopia by Kosmowski, Frederic, Alemu, Solomon, Mallia, Paola, Stevenson, James R., Macours, Karen

    Published 2020
    “…Prioritizing among these candidate innovations and identifying those that can be observed in survey data or be subjected to new data collection approaches such as DNA fingerprinting or remote sensing. …”
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    Informe técnico
  6. Earth observation-based rice mapping studies in Vietnamese Mekong Delta compared to global context: a bibliometric analysis by Chowdhury, A., Ghosh, Surajit, Holmatov, Bunyod

    Published 2024
    “…Optical images, particularly the Landsat (~16%) and MODIS (~12%) time series datasets, were the most commonly utilized globally. MODIS data (~31%) had the highest share in the VMD context, followed by Landsat data (~19%), while Sentinel series (~13% for global and ~16% for VMD) data became more popular in recent years. …”
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    Journal Article
  7. Forest and landscape restoration opportunities in the western catchment of Lake Ziway, Central Rift Valley, Ethiopia: technical report by Moges, A., Yakob, G., Girma, R., Teshale, T., Mekuria, Wolde, Haile, Alemseged Tamiru

    Published 2023
    “…We also employed GIS and remote sensing methods to characterize the long-term land use and land-cover dynamics and changes in the status of land degradation. …”
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    Informe técnico
  8. Impacts of landscape and household climate-smart water management practices in the Awash River Basin, Ethiopia by Mekuria, Wolde, Hagos, Fitsum, Nigussie, Likimyelesh, Admasu, W., Bitew, A.

    Published 2024
    “…The researchers also investigated the links between natural resource degradation and the vulnerability of natural resource-dependent people, and the contributions of landscape management practices to address these issues. The study analyzed data gathered through 500 household surveys, 51 key informant interviews, 96 in-depth household interviews, 36 focus group discussions, and Geographic Information System (GIS) and remote sensing techniques. …”
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    Informe técnico
  9. Widening global variability in grassland biomass since the 1980s by MacDougall, Andrew S., Esch, Ellen H., Chen, Qingqing, Carroll, Oliver, Bonner, Colin, Ohlert, Timothy J., Siewert, Matthias, Sulik, John, Schweiger, Anna K., Borer, Elizabeth T., Peri, Pablo Luis, Seabloom, Eric William

    Published 2024
    “…Global change is associated with variable shifts in the annual production of aboveground plant biomass, suggesting localized sensitivities with unclear causal origins. Combining remotely sensed normalized difference vegetation index data since the 1980s with contemporary field data from 84 grasslands on 6 continents, we show a widening divergence in site-level biomass ranging from +51% to −34% globally. …”
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    Artículo

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