Resultados de búsqueda - Sense data.

Using remote sensing techniques to evaluate lining efficacy of watercourses por Sakthivadivel, Ramaswamy, Amarasinghe, Upali A., Thiruvengadachari, S.

Materias: “…remote sensing…”
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Mapping for resilience: How spatial data is transforming Karamoja cluster por Chepngetich, Brenda, Basel, Ashleigh, Tsoka, Jonathan, Craparo, Alessandro, Taiwo, Ibukun

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Classification of ground lichen using Sentinel-2 and airborne laser data por Larsson, Helene

“…Lichens are the primary winter grazing resource for reindeer, therefore, mapping of lichens is of interest.The objective of this study is to evaluate the use of remote sensing data from the new Sentinel-2 satellite for the classifcation of ground lichen and to assess whether adding information derived from airborne laser scanning (ALS) willimprove the result. …”

Monitoring climatic trends with remote sensing for evidence-based targeting of climate-smart agricultural technologies. por Muthoni, Francis K.

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In season crop monitoring of agricultural interventions using remote sensing in smallholder farmers setting: The case of Northern Ghana por Degefie, Tibebe, Abera, Wuletawu, Eshetie, Meron, Tesfaye, Getachew, Masoud, Jalaludeen, Boatey, Isaac, Sawdiatu, Sandra

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Understanding climate and land surface changes impact on water resources using Budyko framework and remote sensing data in Ethiopia por Abera, Wuletawu, Tamene, Lulseged D., Abegaz, Assefa, Solomon, Dawit

“…In this study, we used Budyko-like framework and remote sensing data to evaluate the spatial effects of climate and land surface changes on water availability in Ethiopia. …”
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Watershed scale soil moisture estimation model using machine learning and remote sensing in a data-scarce context por Bueno, M., Baca García, C., Montoya, N., Rau, P., Loayza, H.

“…Soil moisture content can be used to predict drought impact on agricultural yield better than precipitation. Remote sensing is viable source of soil moisture data in instrument-scarce areas. …”
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Suitability of the stress severity index combined with remote-sensing data as a tool to evaluate drought resistance traits in potato por Hoelle, J., Asch, F., Khan, A., Bonierbale, M.

“…Here, we test the suitability of the SSI combined with remotely sensed data as a screening tool to select drought-tolerant potato geno-types. …”
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Remote sensing hail damage on maize crops in smallholder farms using data acquired by remotely piloted aircraft system por Sibanda, M., Ndlovu, H. S., Brewer, K., Buthelezi, S., Matongera, T. N., Mutanga, O., Odidndi, J., Clulow, A.D., Chimonyo, Vimbayi Grace Petrova, Mabhaudhi, Tafadzwanashe

“…This study, therefore, sought to evaluate the utility of drone-derived multispectral data in estimating crop productivity elements (Equivalent water thickness (EWT), Chlorophyll content, and leaf area index (LAI)) in maize smallholder croplands based on the random forest regression algorithm. …”
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Exploring the prospects of UAV-Remotely sensed data in estimating productivity of Maize crops in typical smallholder farms of Southern Africa por Mbulisi Sibanda, Buthelezi, S., Mutanga, O., Odindi, J., Clulow, A.D., Chimonyo, Vimbayi Grace Petrova, Gokool, S., Naiken, V., Magidi, J., Mabhaudhi, Tafadzwanashe

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Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data. In Chinese por Xueliang Cai, Yuanlai Cui

“…Crop planting structure extraction in irrigated areas includes a range of dynamic parameters which require proper spatial and temporal resolution remotely sensed data. The paper seeks to extract crop planting structure by employing multi-temporal images from multi-sensors. …”
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Quantifying Production Losses due to Drought and Submergence of Rainfed Rice at the households level Using Remotely Sensed MODIS data por Mottaleb, K.A., Gumma, Murali K., Mishra, A.K., Mohanty, Samarendu

Materias: “…modis data…”
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Inception workshop: Enhancing the benefits of remote sensing data and flood hazard modeling in index-based flood insurance (IBFI) por International Water Management Institute

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Precipitation estimations based on remote sensing compared with data from weather stations over agricultural region of Argentina pampas por Ovando, Gustavo Gabriel, Sayago, Silvina, Bellini Saibene, Yanina Noemi, Belmonte, María Laura, Bocco, Mónica

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New data-driven estimation of terrestrial CO2 fluxes in Asia using a standardized database of eddy covariance measurements, remote sensing data, and support vector regression por Ichii, Kazuhito, Ueyama, Masahito, Masayuki Kondo, Saigusa, Nobuko, Kim, Joon, Alberto, Ma. Carmelita R., Ardö, Jonas, Euskirchen, Eugenie S., Minseok Kang, Hirano, Takashi, Joiner, Joanna, Kobayashi, Hideki, Belelli Marchesini, Luca, Merbold, Lutz, Miyata, Akira, Saitoh, Taku M., Takagi, Kentaro, Varlagin, Andrej, Bret-Harte, Marion Syndonia, Kenzo Kitamura, Kosugi, Yoshiko, Ayumi Kotani, Kumar, K., Li, Shenggong, Machimura, Takashi, Yojiro Matsuura, Yasuko Mizoguchi, Takeshi Ohta, Mukherjee, Sandipan, Yuji Yanagi, Yasuda, Yukio, Yiping, Zhang, Fenghua Zhao

“…Data-driven estimation was conducted by using a machine learning algorithm: support vector regression (SVR), with remote sensing data for 2000 to 2015 period. …”
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Evaluation of the wetland mapping methods using Landsat ETM+ and SRTM data por Kulawardhana, Wasantha, Thenkabail, Prasad S., Vithanage, Jagath, Biradar, Chandrashekhar M., Islam, Aminul, Gunasinghe, Sarath, Alankara, Ranjith

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Can remote sensing enable a Biomass Climate Adaptation Index for agricultural systems? por Ferguson, Amy, Murray, Catherine, Tessema, Yared Mesfin, McKeown, Peter C., Reymondin, Louis, Loboguerrero Rodriguez, Ana María, Talsma, Tiffany, Allen, Brenden, Jarvis, Andy, Golden, Aaron, Spillane, Charles

Materias: “…data…”
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AI-driven tree monitoring for silvopastoral systems using remote sensing imagery: Progress report por Ruiz-Hurtado, Andres Felipe, Cardoso Arango, Juan Andrés

Materias: “…remote sensing…”
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Overview of the agenda of the RS/GIS Workshop and introduction to IWMI Data Storehouse Pathway (IWMI-DSP) por Thenkabail, Prasad S.

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Integrating local knowledge and remote sensing for eco-type classification map in the Barotse Floodplain, Zambia por Rio, T. del, Groot, Jeroen C.J., DeClerck, Fabrice A.J., Estrada-Carmona, Natalia

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