Search Results - Sense data.

  1. Information and dataset system on the rehabilitation of degraded tropical forest ecosystems project for international network by Anazawa, M., Sawada, H., Kobayashi, S.

    Published 2001
    “…One path integrates general information at the study site from annual reports, site map, remote sensing data, aerial chart and vegetation map into plot data of each site. …”
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    Book Chapter
  2. Pastoral systems research in sub-Saharan Africa by Stewart, R.A.

    Published 1983
    “…Presents a collection of conference papers defining pastoral systems research; the survey and diagnostic phase of pastoral systems research; ILCA's experience in remote sensing techniques and aerial surveys; survey of vegetation resources; livestock productivity and animal nutrition; pastoral production strategies, wealth effects, household studies, and labour data collection as well as livestock marketing studies. …”
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    Conference Proceedings
  3. Trees and water: smallholder agroforestry on irrigated lands in Northern India by Zomer, Robert J., Bossio, Deborah A., Trabucco, Antonio, Yuanjie, Li, Gupta, Diwan C., Singh, Virendra Pal

    Published 2007
    “…This study based on farmer survey data, used remote sensing and spatial hydrological modeling to investigate the importance and role of the poplar trees within the agricultural landscape, and to estimate their water use. …”
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    Informe técnico
  4. Adapting to intersectoral transfers in the Zhanghe Irrigation System, China: Part I - In-system storage characteristics by Roost Nicolas, Xueliang Cai, David, S., Yuanlai Cui

    Published 2008
    “…This paper assesses the storage capacity and some key hydrological properties of ponds in a major canal command within ZIS. Using remote sensing data (Landsat and IKONOS) and an area-volume relationship based on a field survey, we obtained an overall pond storage capacity of 96 mm (per unit irrigated area). …”
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    Journal Article
  5. Irrigation technologies and management and their environmental consequences: Empirical evidence from Ethiopia by Bekele, Rahel Deribe, Mekonnen, Dawit Kelemework, Ringler, Claudia, Jeuland, Marc

    Published 2024
    “…We use a unique and comprehensive household and plot-level dataset covering ten districts of Ethiopia complemented with remotely sensed data and qualitative information collected from the study sites. …”
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    Journal Article
  6. Pixelating crop production: Consequences of methodological choices by Joglekar, Alison K. B., Wood-Sichra, Ulrike, Pardey, Philip G.

    Published 2019
    “…Finally, we assess the spatial concordance between the SPAM2005 estimates of the area harvested of major crops in the United States and pixelated measures derived from remote-sensed data.…”
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    Journal Article
  7. Very high resolution interpolated climate surfaces for global land areas by Hijmans, Robert J., Cameron, Susan E., Parra, Juan L., Jones, Peter G., Jarvis, Andy

    Published 2005
    “…We quantified uncertainty arising from the input data and the interpolation by mapping weather station density, elevation bias in the weather stations, and elevation variation within grid cells and through data partitioning and cross validation. …”
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    Journal Article
  8. Identification of hydrologically homogenous watersheds and climate-vegetation dynamics in the Blue Nile Basin of Ethiopia by Mihret, Temesgen, Zimale, Fasikaw A, Abeyou, Abeyou, D. Ayalew, Ayenew, Fohrer, Nicola

    Published 2024
    “…Therefore, this study aims to identify homogenous gauged watersheds using hydrometeorological and remote sensing data. In this study 76 watersheds were delineated from a 30-m digital elevation model (SRTM-DEM). …”
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    Journal Article
  9. Comparison of SPI [Standardized Precipitation Index] and IDSI [Integrated Drought Severity Index] applicability for agriculture drought monitoring in Sri Lanka by Pani, Peejush, Alahacoon, Niranga, Amarnath, Giriraj, Bharani, Gurminder, Mondal, S., Jeganathan, C.

    Published 2016
    “…IDSI is created based on seamless mosaic of remotely sensed multi-sensor data that takes vegetation (computed from MODIS data product MOD09A1), temperature (MOD11A2) and precipitation (TRMM & GPM) status into consideration. …”
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    Conference Paper
  10. Quinoa Phenotyping Methodologies: An International Consensus by Stanschewski, Clara S., Rey, Elodie, Fiene, Gabriele, Craine, Evan B., Wellman, Gordon, Melino, Vanessa J., Patiranage, Dilan S.R., Johansen, Kasper, Schmöckel, Sandra M., Erazzu, Luis Ernesto, Tester, Mark

    Published 2022
    “…Mature plant phenotyping is a central aspect of this paper, including detailed descriptions and the provision of phenotyping cards to facilitate consistency in data collection. High-throughput methods for multi-temporal phenotyping based on remote sensing technologies are described. …”
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    Artículo

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