Resultados de búsqueda - "Sense data."

  1. Prediction of the impact of logging activities on forest cover: a case study in East province of Cameroon por Mertens, B., Forni, E., Lambin, E.F.

    Publicado 2001
    “…Geographic information system techniques were used in combination with remote sensing data to define the net commercial value of standing timber at two sites (Batouri and Bertoua) in the East province of Cameroon. …”
    Enlace del recurso
    Journal Article
  2. Monitoring of land use intensification and linkage to soil erosion in Nigeria and Benin por Junge, B., Abaidoo, Robert C., Chikoye, David, Alabi, T.R., Stahr, Karl

    Publicado 2006
    “…Land scarcity and soil degradation are some consequences that necessitate enhanced land use management by using remote sensing data. This study presents the analyses of aerial photographs and satellite images for inventory land use and its changes within time as well as for monitoring soil erosion. …”
    Enlace del recurso
    Conference Proceedings
  3. Satellite based approach for rice yield monitoring and forecasting por Mathieu, Renaud, Murugesan, Deiveegan, Maunahan, Aileen, Quicho, Emma, Sataphaty, Sushree, Dossou-Yovo, Elliott Ronald, Salif, Doumba, Akpoffo, Marius, Gatti, Luca

    Publicado 2023
    “…Results from study sites in Sikasso and Segou regions suggest that incorporating remote sensing data, specifically Synthetic aperture radar (SAR), into a process-based crop model improves the spatial distribution of yield estimates. …”
    Enlace del recurso
    Informe técnico
  4. Remote sensing of soil salinity mapping: status and potential por Ayan Das, Bhattacharya, Bimal K., Obi Reddy, G.P., Bhaskar Narjary, Sharma, P.C., Samar Attaher, Govind, Ajit, Chakraborty, Debashis

    Publicado 2023
    “…Different sensors can identify soil salinity in remote sensing data through direct and indirect indicators. …”
    Enlace del recurso
    Informe técnico
  5. Predicting poverty with vegetation index por Tang, Binh, Liu, Yanyan, Matteson, David S.

    Publicado 2022
    “…To our knowledge, this is the first attempt to use remote sensing data to predict future‐period consumption expenditure at the community level.…”
    Enlace del recurso
    Journal Article
  6. Information and dataset system on the rehabilitation of degraded tropical forest ecosystems project for international network por Anazawa, M., Sawada, H., Kobayashi, S.

    Publicado 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. …”
    Enlace del recurso
    Capítulo de libro
  7. From Remotely Sensed Vegetation Onset to Sowing Dates: Aggregating Pixel-Level Detections into Village-Level Sowing Probabilities por Marinho, E., Vancutsem, C., Fasbender, D., Kayitakire, F, Pini, G, Pekel, J.F.

    Publicado 2014
    “…In this context, the remote sensing approach, which consists of deriving green-up onset dates from satellite remote sensing data, appears as an interesting alternative. …”
    Enlace del recurso
    Journal Article
  8. Using geospatial tools to optimize cassava agronomy trials in Nigeria and Tanzania por Alabi, T., Pypers, Pieter, Chernet, M., Hauser, S., Kreye, C., Haertel, M.

    Publicado 2018
    “…ACAI is developing site-specific recommendation, where processing geospatial information related to climate, soil and remote sensing data is crucial. We are using spatial multivariate analysis to delineate our partners’ operational area into homogeneous clusters to ensure the representativeness of trial sites and optimize the number of trial sites for maximum operational efficiency.…”
    Enlace del recurso
    Póster
  9. Spatial and Spectral features for Horticulture mapping por Marinelli, María Victoria, Mari, Nicolás Alejandro, Pons, Diego Hernan, Giobellina, Beatriz Liliana, Scavuzzo, Carlos Marcelo

    Publicado 2024
    “…Remote sensing data allows the continuous mapping of horticultural crops in periurban areas. …”
    Enlace del recurso
    Conferencia
  10. Drought Monitoring and assessment using earth observation data for Zambia por Amarnath, Giriraj, Alahacoon, Niranga

    Publicado 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. …”
    Enlace del recurso
    Informe técnico
  11. Agrarian reform in the Brazilian Amazon: its implications for land distribution and deforestation por Pacheco, P.

    Publicado 2009
    “…The study is based on informant interviews, secondary information, agricultural census data, and remote sensing data.…”
    Enlace del recurso
    Journal Article
  12. Remote sensing maps on climatic trends to improve targeting of climate-smart agricultural technologies in West Africa por CGIAR Research Program on Maize

    Publicado 2019
    “…This study utilise time series remote sensing data for rainfall, maximum temperature and minimum temperature to investigate the magnitude and significance of spatial-temporal trends over six countries in West Africa. …”
    Enlace del recurso
    Informe técnico
  13. Mapping above ground carbon storage and sequestration using the InVEST model: A case study of three countries in Kenya por Guo, Zhe

    Publicado 2024
    “…This study presents a cost-effective approach to evaluating carbon storage and sequestration in Kenya, utilizing crop type maps derived from remote sensing data and the InVEST (Integrated Valuation of Environmental Services and Tradeoffs) carbon model. …”
    Enlace del recurso
    Conference Paper
  14. Statistics from space: Next-generation agriculture production information for enhanced monitoring of food security in Mozambique por Centro de Estudo de Políticas e Programas Agroalimentares (CEPPAG)

    Publicado 2024
    “…The Statistics from Space project (SFS) seeks to support the Government of Mozambique to produce and disseminate accurate crop production statistical data leveraging satellite remote sensing data and artificial intelligence augmented analytics. …”
    Enlace del recurso
    Informe técnico
  15. RS and GIS based multi-criteria evaluation for locating water system innovations in Pangani River Basin of Tanzania por Pachpute, Jayashree S.

    Publicado 2007
    “…Based on field surveys and remote sensing data, spatial information like hydronomic zones, bio-physical and socioeconomic parameters was generated and the suitability criteria for each WSI were developed. …”
    Enlace del recurso
    Conference Paper
  16. Spatial random downscaling of rainfall signals in Andean heterogeneous terrain por Posadas, A., Duffaut Espinoza, L.A., Yarleque, C., Carbajal, M., Heidinger, Haline, Carvalho, L., Jones, C., Quiróz, R.

    Publicado 2015
    “…Remotely sensed data are often used as proxies for indirect precipitation measures over data-scarce and complex-terrain areas such as the Peruvian Andes. …”
    Enlace del recurso
    Journal Article
  17. Spatial database of planted forests in East Asia por Abbasi, Akane O., Tang, Xiaolu, Harris, Nancy L., Goldman, Elizabeth D., Gamarra, Javier G. P., Herold, Martin, Kim, Hyun Seok, Luo, Weixue, Silva, Carlos Alberto, Tchebakova, Nadezhda M., Mitra, Ankita, Finegold, Yelena, Jahanshahi, Mohammad Reza, Alvarez, Cesar Ivan, Kim, Tae Kyung, Ryu, Daun, Liang, Jingjing

    Publicado 2023
    “…Here, based on extensive in situ and remote sensing data, as well as an ensemble modeling approach, we present the first spatial database of planted forests for East Asia, which consists of maps of the geographic distribution of planted forests and associated dominant tree genera. …”
    Enlace del recurso
    Journal Article
  18. Drivers and impacts of land-use change in the Maasai Steppe of Northern Tanzania: An ecological-social-political analysis por Msoffe, F.U., Kifugo, S.C., Said, Mohammed Yahya, Neselle, M.O., Gardingen, P. van, Reid, Robin S., Ogutu, Joseph O., Herrero, Mario, Leeuw, Jan de

    Publicado 2011
    “…In this article, we discuss the drivers, causes, and impacts of land-use change in the Maasai Steppe of northern Tanzania. Remote sensing data were used to analyze land-use change, and Geographical Information Systems (GIS) was used to link-up with wildlife population dynamics and livestock distribution data derived from aerial censuses. …”
    Enlace del recurso
    Journal Article

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