Resultados de búsqueda - Sense data.

Spatio-temporal distribution of actual evapotranspiration in the Indus basin irrigation system por Liaqat, U.W., Choi, M., Awan, Usman K.

“…In this study, we examined the application of SEBS using publically available remote sensing data to assess spatial variations in water consumption and to map water stress from daily to annual scales in the IBIS. …”
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A global map of mangrove forest soil carbon at 30m spatial resolution por Sanderma, Jonathan, Hengl, Tomislav, Fiske, Greg, Solvik, Kylen, Adame, Maria Fernanda, Benson, Lisa, Bukoski, Jacob J., Carnell, Paul, Cifuentes Jara, Miguel, Donato, Daniel, Duncan, Clare, Eid, Ebrahem M., Ermgassen, Philine zu, Ewers Lewis, Carolyn J., Macreadie, Peter I, Glass, Leach, Gress, Selena, Jardine, Sunny L., Jones, Trevor G., Rahman, MD Mizanur, Sanders, Christian J., Spalding, Mark, Landis, Emily

“…By utilizing remotely-sensed mangrove forest cover change data, loss of soil carbon due to mangrove habitat loss between 2000 and 2015 was 30–122 Tg C with >75% of this loss attributable to Indonesia, Malaysia and Myanmar. …”
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Spatial and Spectral features for Horticulture mapping por Marinelli, María Victoria, Mari, Nicolás Alejandro, Pons, Diego Hernan, Giobellina, Beatriz Liliana, Scavuzzo, Carlos Marcelo

“…Remote sensing data allows the continuous mapping of horticultural crops in periurban areas. …”
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Designing index based livestock insurance for managing asset risk in northern Kenya por Chantarat, S., Mude, Andrew G., Barrett, Christopher B., Carter, M.R.

“…We describe the methodology used to design the contract and its underlying index of predicted area-average livestock mortality, established statistically using longitudinal observations of household-level herd mortality fit to remotely sensed vegetation data. Household-level performance analysis based on simulations finds that IBLI removes 25–40 percent of total livestock mortality risk. …”
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Detecting Changes in Soil Fertility Properties Using Multispectral UAV Images and Machine Learning in Central Peru por Enriquez Pinedo, Lucia Carolina, Ortega Quispe, Kevin Abner, Ccopi Trucios, Dennis, Rios Chavarria, Claudia Sofía, Urquizo Barrera, Julio, Patricio Rosales, Solanch Rosy, Alejandro Mendez, Lidiana Rene, Oliva Cruz, Manuel, Barboza Castillo, Elgar, Pizarro Carcausto , Samuel Edwin

“…Globally, technologies such as remote sensing and machine learning are increasingly being used to infer these parameters. …”
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A novel approach to estimate direct and indirect water withdrawals from satellite measurements: a case study from the Incomati basin por Eekelen, M.W. van, Bastiaanssen, Wim G.M., Jarmain, C., Jackson, B., Ferreira, F., Zaag, P. van der, Okello, A.S., Bosch, J., Dye, P., Bastidas-Obando, E., Dost, R.J.J., Luxemburg, W.M.J.

“…The methodology described using remotely sensed measurements to estimate direct and indirect withdrawals has the potential to be applied more widely to water stressed basins having limited availability of field data.…”
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Targeting hunger or votes? The political economy of humanitarian transfers in Malawi por Duchoslav, Jan, Kenamu, Edwin, Thunde, Jack

“…Combining household survey data on transfers with a remotely sensed measure of drought and with the results of the 2014 and 2019 parliamentary elections, we show that transfers were disproportionately targeted at marginal constituencies. …”
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New Tropical Peatland Gas and Particulate Emissions Factors Indicate 2015 Indonesian Fires Released Far More Particulate Matter (but Less Methane) than Current Inventories Imply por Wooster, M.J., Gaveau, D.L.A., Salim, M.A., Zhang, T., Xu, W., Green, D.C., Huijnen, V., Murdiyarso, D., Gunawan, D., Borchard, N., Schirrmann, M., Main, B., Sepriando, A.

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Estimation of height and aerial biomass in Eucalyptus globulus plantations using UAV-LiDAR por Enriquez Pinedo, Lucía, Ortega Quispe, Kevin, Ccopi Trucios, Dennis, Urquizo Barrera, Julio, Rios Chavarría, Claudia, Pizarro Carcausto, Samuel, Matos Calderon, Diana, Patricio Rosales, Solanch, Rodríguez Cerrón, Mauro, Ore Aquino, Zoila, Paz Monge, Michel, Castañeda Tinco, Italo

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Escaping poverty traps and unlocking prosperity in the face of climate risk: Lessons from Index-Based Livestock Insurance por Jensen, Nathaniel D., Fava, Francesco P., Mude, Andrew G., Barrett, Christopher B., Wandera-Gache, Brenda, Vrieling, Anton, Taye, Masresha, Takahashi, Kazushi, Lung, Felix, Ikegami, Munenobu, Ericksen, Polly J., Chelanga, Philemon, Chantarat, Sommarat, Carter, Michael, Bashir, Hassan, Banerjee, Rupsha R.

“…General insights are provided on i) the economics of poverty, risk management, and drylands development; ii) the evolving use of modern remote sensing and data science tools in development; iii) the science of scaling; and iv) the value and challenges of integrating research with operational implementation to tackle development and humanitarian challenges in some of the world's poorest regions.…”
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Using APAR to Predict Aboveground Plant Productivity in Semi-Arid Rangelands: Spatial and Temporal Relationships Differ por Gaffney, Rowan, Porensky, Lauren M., Feng, Gao, Irisarri, Jorge Gonzalo Nicolás, Durante, Martin, Derner, Justin D., Augustine, David J.

“…Using two complimentary ANPP datasets and remotely sensed data derived from MODIS and a Landsat/MODIS fusion data product, we find that slopes of spatial models are generally greater than slopes of temporal models. …”
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Farmer-Managed Natural Regeneration contribution to soil health in the southern part of Niger por Traore, Bouba, Arzika, Zaharadine L., Koudoussou, Ibrahim M., Desta, Gizaw, Moyo, Martin

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Multivariate and spatially calibrated hydrological model for assessing climate change impacts on hydrological processes in West Africa por Dembélé, M., Zwart, Sander J., Ceperley, N., Mariethoz, G., Schaefli, B.

“…This study analysis the future evolution of the spatiotemporal dynamics of multiple hydrological processes (i.e. streamflow, soil moisture, evaporation and terrestrial water storage) with the fully distributed mesoscale hydrologic Model (mHM), which is constrained with a novel multivariate calibration approach based on the spatial patterns of satellite remote sensing data (Dembélé et al., 2020). The experiment is done in the large and transboundary Volta River Basin (VRB) in West Africa, which is a hotspot of climate vulnerability. …”
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2021 Annual trends and outlook report: Building resilient African food systems after COVID-19 por Ulimwengu, John M., Constas, Mark A., Ubalijoro, Éliane

“…Chapters: 1| Introduction: Building Resilient African Food Systems After COVID–19 1 2| Africa: Food Security And Agricultural Trade During The COVID-19 Pandemic 7 3| The Impact Of COVID-19 On Staple Food Prices: Location Matters 25 4| Impact Of COVID-19-Related Global Trade Disruptions On African Food Systems 46 5| Assessing The Vulnerability Of West And Central African Countries To COVID-19 66 6| Assessing African Economic Policy Responses To COVID-19 81 7| Delivery Of Social Protection Programs To Combat COVID-19 In Africa 100 8| Rethinking The Role Of Social Protection In African Food Systems Post- COVID-19 112 9| Remote Sensing And Machine Learning For Food Crop Production Data In Africa Post- COVID-19 128 10| Measuring Progress Toward The Malabo Declaration Goals In The Midst Of COVID-19: A Measurement Approach For A Health Systems-Sensitive Resilience Score 155 11| The Measurement Of Resilience Capacities Through The Integration Of Macrolevel And Microlevel Indicators 171 12| Methods Of Assessment Of The Impact Of COVID-19 On Community Dietary Patterns 184 13| A Consumer–Food Security Nexus Framework Analysis For Resilient Agrifood Value Chains 194 14| Tracking Key Caadp Indicators And Implementation Processes 215 15| Ator 2021: Summary And Conclusions 238…”
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Restoring degraded landscapes and sustaining livelihoods: sustainability assessment (cum-review) of integrated landscape management in Sub-Saharan Africa por Zemadim, Birhanu, Desta, G., Cofie, Olufunke O., Tilahun, Seifu A., Mabhaudhi, Tafadzwanashe

“…For this, the generation of evidence-based data and the use of advanced geo-spatial tools such as Remote Sensing and GPS-installed drones are recommended.…”
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Land use and land cover change, drivers and its impact: A comparative study from Kuhar Michael and Lenche Dima of Blue Nile and Awash Basins of Ethiopia por Ali, H.

“…Socio-economic Survey and review of documents was carried out to understand historical trends, collect ground truth and other secondary information required. Analysis of data and other data was accomplished through integrated use of ERDAS imagine (version 9.1), ENVI (version 4.3) and ArcGIS (version 9.2) software packages along with Microsoft office analytical tools. …”
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Waking the Sleeping Giant: Agricultural intensification, extensification or stagnation in Mali's Guinea Savannah por Ollenburger, M.H., Descheemaeker, Katrien K., Crane, Todd A., Sanogo, O.M., Giller, Kenneth E.

“…The district of Bougouni, in southern Mali, falls within this zone. We used multiple data sources including a panel survey, remote sensing-based land cover classification, population data, and farmer focus group discussions, to investigate whether the area is following a commonly-described pathway of agricultural intensification due to increasing land scarcity. …”
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Från wayfaring till stråkobservationer : åtta insikter som uppmuntrar till att gå för en sinnligare gestaltning por Lenning, Emelie

Mapping of intact forest landscapes in Sweden according to Global forest watch methodology por Hájek, Filip

“…Previous works about mapping virgin forests in Sweden and related studies dealing with remotely sensed data are mentioned. The essence of the study focuses on the detailed description of the methodology (GIS in combination with the interpretation of satellite data) and the material used to create the map of intact forest landscapes in Sweden. …”
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Analyses of the feasibility of participatory REDD+ MRV approaches to Lidar assisted carbon inventories in Nepal por Puliti, Stefano

“…The study compares AGB regression models built with wall-to-wall, low density (0.8 points m-2) laser scanning data and two field datasets collected by professionals and Community Forest User Groups (CFUGs) teams. …”
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