Resultados de búsqueda - Sense data.

Predicción de la variabilidad de la productividad de pasturas para la delimitación de zonas de manejo en suelos ganaderos por Cicore, Pablo Leandro

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What can we learn from the ecophysiology of plants inhabiting extreme environments? From ‘sherplants’ to ‘shercrops’ por Flexas, Jaume, Fernie, Alisdair R., Usadel, Björn, Alonso-Forn, David, Ardiles, Victor, Ball, Marilyn C., Ballesteros, Daniel, Bravo, Leon, Brodribb, Tim J., Carriquí, Marc, Ergo, Veronica Vanesa, Gago, Jorge

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Projektgruppers funktion i utvecklingen av den svenska landsbygden por Eneman, Emilia

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Urban dagvattenhantering med regnträdgårdar por Lagerkvist, Emma, Bååth, Sofia

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Irrigated areas of India derived using MODIS 500 m time series for the years 2001-2003 por Dheeravath, Venkateswarlu, Thenkabail, Prasad S., Chandrakantha, G., Noojipady, P., Reddy, G.P.O., Biradar, Chandrashekhar M., Gumma, Murali K., Velpuri, Naga Manohar

“…The causes for differences were both in traditional approaches and remote sensing. The causes of uncertainties unique to traditional approaches were (a) inadequate accounting of minor irrigation (groundwater, small reservoirs and tanks), (b) unwillingness to share irrigated area statistics by the individual Indian states because of their stakes, (c) absence of comprehensive statistical analyses of reported data, and (d) subjectivity involved in observation-based data collection process. …”
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Reducing the costs of GHG estimates in agriculture to inform low emissions development: Report from an international workshop por Richards, Meryl B., Consultative Group on International Agricultural Research, Food and Agriculture Organization of the United Nations

“…Linking adaptation and mitigation will reduce data needs and provide incentives for action. New tools for estimation are being developed, including remote sensing and crowd-sourcing, modeling and utilizing the national surveys and agriculture censuses that can help reduce data costs.…”
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Predicting high-magnitude, low-frequency crop losses using machine learning: An application to cereal crops in Ethiopia por Mann, Michael L., Warner, James, Malik, Arun S.

“…In this paper, we propose a new data fusion method—combining remotely sensed data with agricultural survey data—that might address these limitations. …”
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Predicting high-magnitude, low-frequency crop losses using machine learning: An application to cereal crops in Ethiopia por Mann, Michael L., Malik, Arun S., Warner, James

“…In this paper we propose a new data fusion method combining remotely-sensed data with agricultural survey data that might address these limitations. …”
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Precisionsodling av vall por Hellstedt, Emma

“…The results show that there are relationships between remote sensing and meas- ured data – where the strongest correlations can be found between hyperspectral data and protein amount in grasses. …”
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Private Sector Consultation on Climate Smart Agriculture: The Feed the Future Learning Community for Supply Chain Resilience por CGIAR Research Program on Climate Change, Agriculture and Food Security

“…Companies working closest to smallholder farmers (direct service providers) had the most access to and need for detailed farm-level data, and are looking for more local information to supplement their knowledge, such as changing local weather patterns, site-specific good agricultural practices (GAPs) and recommendations for adaptation practices for particular climate hazards. …”
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Las Juventudes rurales en San Luis: construcción relacional, identidades y dinámicas intra e intergeneracionales, en el contexto de las transformaciones agro-rurales actuales por Iacovino, Romina

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Hur mycket naturbetesmarker har vi idag? por Palmgren, Emma

“…When the results were compared with data from TUVA and the block database it turned out that the estimations from the sample inventories were significantly higher. …”
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Flyttkedjors effekt på bostadsmarknaden por Ziegler, Joakim

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Potential improvement for forest cover and forest degradation mapping with the forthcoming Sentinel-2 program por Hojas-Gascon, L., Belward, A., Eva, H., Ceccherini, G., Hagolle, Olivier, García, J., Cerutti, P.O.

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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.

“…Remotely sensed data are often used as proxies for indirect precipitation measures over data-scarce and complex-terrain areas such as the Peruvian Andes. …”
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Pro-poor risk management: essays on the economics of index-based risk transfer products por Chantarat, S.

“…The underlying herd mortality index is constructed off a statistical model that relates longitudinal household-level herd mortality data to remotely sensed vegetation index data. The resulting index performs well out of sample. …”
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Enhancing transboundary flood forecasting for early warnings in the Gash River Basin por Amarnath, Giriraj, Alahacoon, Niranga, Gismalla, Y., Mohammed, Y., Sharma, Bharat R., Smakhtin, Vladimir

“…In this chapter we briefly present the potential application of satellite-based rainfall estimates and develop a flood forecasting model for the Gash River Basin, Sudan, through a distributed modeling approach using remote sensing data. The approach includes rainfall-runoff modeling, hydrodynamic flow routing, and calibration and validation of the model with field discharge data. …”
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Increasing Early Warning Lead Time Through Improved Transboundary Flood Forecasting in the Gash River Basin, Horn of Africa por Amarnath, Giriraj, Alahacoon, Niranga, Gismalla, Y., Mohammed, Y., Sharma, Bharat R., Smakhtin, Vladimir U.

“…In this chapter, we briefly present the potential application of satellite-based rainfall estimates, and develop a flood forecasting model for the Gash River Basin, Sudan, through a distributed modeling approach using remote sensing data. The approach includes rainfall-runoff modeling, hydrodynamic flow routing, and calibration and validation of the model with field discharge data. …”
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Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam por Pratihast, A.K., Herold, Martin, Avitabile, Valerio, Bruin, S. de, Bartholomeus, H.M., Souza, C.M, Ribbe, L.

“…Current arrangements for monitoring are based on remote sensing and field measurements. Since monitoring is the periodic process of assessing forest stands properties with respect to reference data, adopting the current REDD+ requirements for implementing monitoring at national levels is a challenging task. …”
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A framework for assessing the effects of shock events on livestock and environment in sub-Saharan Africa: The COVID-19 pandemic in northern Kenya por Graham, Michael, Chelanga, Philemon, Jensen, Nathaniel D., Leitner, Sonja, Fava, Francesco P., Merbold, Lutz

“…METHODS: We evaluated changes in GHG emissions from livestock systems in Northern Kenya due to the COVID-19 pandemic based on proxy data from crowd-sourced market data, household panel surveys, and remote sensing data on Normalized Difference Vegetation Index (NDVI). …”
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