Resultados de búsqueda - "Sense data."

Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique - Enumerators training report por Centre of Excellence in Agri-Food Systems and Nutrition

“…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. …”
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TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis por Heidinger, Haline, Yarleque, C., Posadas, A., Quiróz, R.

“…Quantifying rainfall from remotely sensed data is crucial for regions where meteorological stations are scarce. …”
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Mapping crop water productivity in the Nile Basin through combined use of remote sensing and census data por Karimi, Poolad, David, S., Bastiaanssen, Wim G.M.

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Mapping of soil properties and land degradation risk in Africa using MODIS reflectance por Vågen, Tor-Gunnar, Winowiecki, Leigh Ann, Tondoh, Jérôme E., Tamene, Lulseged D., Gumbricht, Thomas

“…In this paper, we develop models for digital soil mapping based on remote sensing data from the Moderate Resolution Imaging Spectroradiometer (MODIS) platform for Africa. …”
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Groundwater storage and depletion trends in Tamil Nadu State, India por Chinnasamy, Pennan, Agoramoorthy, G.

“…Hence this study has used remote sensing data from NASA’s Gravity Recovery and Climate Experiment and the Global Land Data Assimilation Systems to assess the total change in groundwater storage across the state of Tamil Nadu over a period of 11 years, from 2002 to 2012. …”
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Remote sensing-based assessment of the 2005–2011 bamboo reproductive event in the Arakan mountain range and its relation with wildfires por Fava, Francesco P., Colombo, R.

“…This study analyzes the widespread reproductive event of bamboo (Melocanna baccifera) that occurred in the Arakan Mountains (Southeast Asia) from 2005 to 2011, and investigates the possible relationship between massive fuel loading due to bamboo synchronous mortality over large areas and wildfire regime. Multiple remote sensing data products are used to map the areal extent of the bamboo-dominated forest. …”
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Using multispectral ALS for tree species identification por Axelsson, Arvid

“…The objective of this master’s thesis is to explore how tree species differ in spectral and structural properties using multispectral airborne laser scanning data from the Optech Titan X system. Remote sensing data was gathered from Remningstorp, Västra Götaland in Sweden on 21st July 2016. …”
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Satellite-based Tracking of Agricultural Adaptation Progress in Sub-Saharan Africa por 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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Effects of household-level attributes and agricultural land-use on deforestation patterns along a forest transition gradient in the Miombo landscapes, Zambia por Kazungu, M., Velasco, R.F., Zhunusova, E., Lippe, M., Kabwe, G., Gumbo, D.J., Günter, S.

“…We integrate remotely sensed data with surveys of 1123 households collected in the Miombo areas between 2017 and 2019 to better understand the effects of household attributes on regional deforestation patterns along a forest transition gradient. …”
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Estimating Long-Term Average Carbon Emissions from Fires in Non-Forest Ecosystems in the Temperate Belt por Ostroukhov, A., Klimina, E., Kuptsova, V., Naito, D.

“…Our study is based on long-term Earth remote sensing data of medium spatial resolution (Landsat 5, 7, and 8) and expeditionary studies (2018–2021). …”
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Ethiopian wheat yield and yield gap estimation: A small area integrated data approach por Mann, Michael, Warner, James

“…Overall, combining field surveys with remote sensing data and other spatial data can be used to identify management priorities for improving production at a variety of administrative levels in the country.…”
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Identification of hydrologically homogenous watersheds and climate-vegetation dynamics in the Blue Nile Basin of Ethiopia por Mihret, Temesgen, Zimale, Fasikaw A, Abeyou, Abeyou, D. Ayalew, Ayenew, Fohrer, Nicola

“…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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Disentangling climate and human drivers of land degradation in East and Southern Africa por Muthoni, F.K., Manda, J., Dubovky, O.

“…This study applied a 40-year time series of remote sensing data representing vegetation indices and rainfall to identify the hotspots for the climatic and human-induced LD or improvements in the East and Southern Africa (ESA) region. …”
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Modeling turbidity of aquaculture pond in the East Kolkata Wetlands using Sentinel-2 bands and ground data through multivariate regression on Google Earth Engine por Mullick, A., Ghosh, Surajit, Chowdhury, A., Bhattacharyya, S.

“…This hybrid approach of combining remote sensing data and geostatistical analysis offers a high-throughput, cost-effective monitoring framework and a decision-support tool for sustainable wetland management.…”
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Remote sensing analysis reveals habitat, dispersal corridors and expanded distribution for the Critically Endangered Cross River gorilla Gorilla gorilla diehli por Bergl, R., Warren, Y., Nicholas, A., Dunn, A., Imong, I., Sunderland-Groves, J., Oates, J.

“…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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Global tree cover and biomass carbon on agricultural land: The contribution of agroforestry to global and national carbon budgets por Zomer, Robert J., Neufeldt, Henry, Xu, Jianchu, Ahrends, Antje, Bossio, Deborah A., Trabucco, Antonio, Noordwijk, Meine van, Wang, Mingcheng

“…This paper assesses the role of trees on agricultural land and their significance for carbon sequestration at a global level, along with recent change trends. Remote sensing data show that in 2010, 43% of all agricultural land globally had at least 10% tree cover and that this has increased by 2% over the previous ten years. …”
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Workshop on implementation strategies for piloting flood index insurance for agricultural development in Bangladesh por International Water Management Institute

“…The project integrated advanced numerical modelling techniques for constructing long term flood patterns, high resolution remote sensing data and statistical models to predetermine flood thresholds, which could trigger speedy compensation payouts. …”
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Role of Modelling in International Crop Research: Overview and Some Case Studies por Reynolds, Matthew P., Kropff, Martin, Crossa, José, Koo, Jawoo, Kruseman, Gideon K., Molero Milan, Anabel, Rutkoski, Jessica, Schulthess, Urs C., Balwinder-Singh, Poonia, S., Sonder, Kai, Tonnang, Henri E.Z., Vadez, Vincent

“…New developments include, for example, use of remote sensed data and mobile phone technology linked to crop management decision support models, data sharing in the new era of big data, and the use of genomic selection and crop simulation models linked to environmental data to help make crop breeding decisions. …”
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Conservation Agriculture Benefits Indian Farmers, but Technology Targeting Needed for Greater Impacts por Krishna, Vijesh V., Keil, Alwin, Jain, Meha, Weiqi Zhou, Jose, Monish, Surendran-Padmaja, Subash, Barba-Escoto, Luis, Singh, Balwinder, Jat, Mangi Lal, Erenstein, Olaf

“…Econometric models and machine learning algorithms were used to analyze remote sensing data and farm household data collected from the Indian states of Punjab and Bihar, two contrasting agrarian economies of the IGP. …”
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Calibrated Models for Major Crops and Cropping System using Existing Datasets in Morocco and Uzbekistan por Devkota, Krishna, Devkota Wasti, Mina Kumari

“…Those input datasets for the model are derived from different sources, such as field experiments, household surveys, web-based data sources, remote sensing data, published literature, etc. Crop and Cropping System Models are a valuable ex-ante decision support tool which generates useful outputs for the precision agricultural management, provides decision for climate change mitigation and adaptation with ecosystem services, and also provides decision for institutional and policy reform (Fig. 1). …”
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