Search Results - Sense data.

Functional soil property maps are just a click away by Okoth, Peter F.

“…The data generated will also allow climatic change prediction with soil as a major input into the modeling. …”
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Reviving legacy population maps with object-oriented image processing techniques by Kerle, N., Leeuw, Jan de

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Disentangling climate and human drivers of land degradation in East and Southern Africa by 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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Mapping regional livelihood benefits from local ecosystem services assessments in rural Sahel by Malmborg, Katja, Sinare, Hanna, Kautsky, Elin Enfors, Ouédraogo, Issa, Gordon, Line J.

“…Most current approaches to landscape scale ecosystem service assessments rely on detailed secondary data. This type of data is seldom available in regions with high levels of poverty and strong local dependence on provisioning ecosystem services for livelihoods. …”
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Capítulo 8 - Aprovechamiento de subproductos frutihortícolas como alternativa para la prevención de PDA by Polenta, Gustavo Alberto

“…However, due to its complexity, a multidisciplinary approach and the involvement of different sectors are necessary. In this sense, an example to imitate in our region would be the so-called Food Waste Recovery Network (Food Waste Recovery Group), which constitutes an open innovation network started in the European Union and which currently has a large number of researchers. and professionals partners from more than 60 countries, forming a platform for the exchange of knowledge and the implementation of joint projects. …”
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Konstruktörers syn på trä som konstruktionsmaterial : utbildning och information by Gräns, Anders

Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture by Rosenstock, Todd S., Rufino, Mariana C., Butterbach-Bahl, Klaus, Wollenberg, Eva Karoline, Richards, Meryl B.

“…Emissions can be estimated for large areas with a combination of field measurement, modeling and remote sensing, but even simple data about the extent of activities is often not available and models require calibration and validation (Olander et al 2014). …”
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Forest phenoclusters for Argentina based on vegetation phenology and climate by Silveira, Eduarda M.O., Radeloff, Volker C., Martínez Pastur, Guillermo José, Martinuzzi, Sebastián, Politi, Natalia, Lizarraga, Leonidas, Rivera, Luis, Gavier Pizarro, Gregorio Ignacio, Yin, He, Rosas, Yamina Micaela, Calamari, Noelia Cecilia, Navarro, María Fabiana, Sica, Yanina Vanesa, Olah, Ashley, Bono, Julieta, Pidgeon, Anna M.

“…Our results highlight the potential of combining remotely sensed phenology measures and climate data to improve broad-scale forest mapping for different management and conservation goals, capturing functional rather than structural or compositional characteristics between and within tree species. …”
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A simple model for predicting agronomy floods in rice fields in Bicol, Philippines by Wei, Xiaojing, Balanza Girly, Jane, Raviz, Jeny, Castillo, Rowena, Baradas, Airene, Laborte, Alice

“…Leveraging high-spatial resolution, remote sensing-based flood extent data specifically developed for rice fields, we explore the possibility of predicting agronomical flood extent in the Bicol region of the Philippines using a series of simple logistic regression models with different lookback windows. …”
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A hierarchical method for soil erosion assessment and spatial risk modelling: a case study of Kiambu district in Kenya. by Okoth, Peter F.

“…Technical capacity is also required in the fields of soil erosion assessment and statistical analysis. Remote sensing knowledge and data offer the best opportunities for capturing landscape objects for integration into a GIS. …”
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Mapping direct seeded rice in Raichur district of Karnataka, India by Gumma, Murali K., Uppala, D., Mohammed, I.A., Whitbread, Anthony M., Mohammed, I.R.

“…The extent of cropland was mapped using Landsat-8, Moderate Resolution Imaging Spectroradiometer (MODIS) 16-day normalized difference vegetation index (NDVI) time-series data and the cultivation practice delineated using RISAT-1 data for the year 2014. …”
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Unmixing-Based Fusion of Hyperspatial and Hyperspectral Airborne Imagery for Early Detection of Vegetation Stress by Delalieux, Stephanie, Zarco-Tejada, Pablo J., Tits, Laurent, Jimenez Bello, Miguel Angel, Intrigliolo, Diego S., Somers, Ben

“…Many applications require a timely acquisition of high spatial and spectral resolution remote sensing data. This is often not achievable since spaceborne remote sensing instruments face a tradeoff between spatial and spectral resolution, while airborne sensors mounted on a manned aircraft are too expensive to acquire a high temporal resolution. …”
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Fjärranalysstödd objektiv uppskattning av virkesförråd för värdering av fastigheter by Romlin Fredriksson, Anton

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The global mangrove watch - a New 2010 global baseline of mangrove extent by Bunting, P., Rosenqvist, A., Lucas, R.M., Rebelo, Lisa-Maria, Thomas, N., Hardy, A., Itoh, T., Shimada, M., Finlayson, C. Max

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Comparison of UAV and SAR performance for crop type classification using machine learning algorithms: a case study of humid forest ecology experimental research site of west Africa by Duke, O.P., Alabi, T.R., Neeti, N., Adewopo, Julius

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An assessment of threats to terrestrial protected areas by Schulze, K., Knights, K., Geldmann, J., Leverington, F., Eassom, A., Marr, M., Butchart, S.H.M., Hockings, M., Burgess, Neil D., Coad, L.M.

“…Our results show that many of the most serious threats to PAs are difficult to monitor with remote sensing, and highlight the importance of in situ threat data to inform the implementation of more effective biodiversity conservation in the global protected area estate.…”
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Real-Time Monitoring of Cropping Pattern Using Geospatial Analysis by Gumma, Murali K.

“…This contribution will significantly impact agricultural monitoring and decision-making processes through the integration of remote sensing and machine learning. These advancements will lead to more accurate and timely data on crop patterns, enabling better resource management and policy-making.…”
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Catalysing cleaner production systems: benchmarking with the COVID‑19 lockdowns in South Africa by Magidi, J., Nhamo, L., Kurwakumire, E., Gumindoga, W., Mpandeli, S., Liphadzi, S., Mabhaudhi, Tafadzwanashe

“…Remotely sensed data are essential for quantifying and monitoring air quality over time by assessing the change in pollution indicators such as fine particulate matter (PM2.5) and nitrogen dioxide (NO2) content. …”
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Mapping multiple climate-related hazards in South Asia by Amarnath, Giriraj, Alahacoon, Niranga, Smakhtin, Vladimir U., Aggarwal, Pramod K.

“…While this approach is well grounded in theories and integration of various spatial data including remote sensing data to derive hazard information, there is a clear need for linking additional elements from the ground at a finer scale among various sectors in developing comprehensive risk assessment information for a disaster risk management plan and promoting risk financing strategies.…”
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Will up-scaled forest conservation incentives in the Peruvian Amazon produce cost-effective and equitable outcomes? by Börner, J., Wunder, Sven, Giudice, R.

“…Our spatially explicit impact assessment relied on remotely sensed deforestation data and field data-supported estimates of conservation opportunity costs. …”
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