Search Results - Sense data.

Remote sensing and machine learning integration to detect and forecast floods in Lodwar Town, Turkwel Basin, Kenya by Lakew, Haileyesus Belay, Taye, Meron Teferi, Lino, O., Dyer, E.

“…This study explores the integration of remote sensing data and machine learning techniques to improve flood detection and early warning capabilities in Lodwar Town of the Turkwel Basin, Kenya. …”
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A critical synthesis of remote sensing and machine learning approaches for climate hazard impact on crop yield by Obahoundje, Salomon, Tilahun, Seifu A., Zemadim, Birhanu, Schmitter, Petra

“…This review critically assesses the application of machine learning (ML) algorithms and remote sensing (RS) products in detecting and predicting climate hazards, as well as their impacts on crop yields. …”
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Robustness of the RGB image-based estimation for rice above-ground biomass by utilizing the dataset collected across multiple locations by Nakajima, Kota, Saito, Kazuki, Tsujimoto, Yasuhiro, Takai, Toshiyuki, Mochizuki, Atsushi, Yamaguchi, Tomoaki, Ibrahim, Ali, Mairoua, Salifou Goube, Andrianary, Bruce Haja, Katsura, Keisuke, Tanaka, Yu

Subjects: “…data collection…”
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Clasificación del uso de la tierra en el Valle Central de Catamarca utilizando técnicas de minería de datos en la nube by Alvarez Ocampo, Sonia Viviana

Subjects: “…Data Mining…”
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Assessment of water availability and consumption in the Karkheh River Basin, Iran using remote sensing and geo-statistics by Muthuwatta, Lal P., Ahmad, Mobin-ud-Din, Bos, M.G., Rientjes, T.H.M.

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A comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale by Alahacoon, Niranga, Edirisinghe, M.

“…The specialty is that when considering remote sensing-based drought indices, 90% are used for agricultural drought monitoring and 10% for hydrological and meteorological drought monitoring. …”
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Forest cover mapping in post-Soviet Central Asia using multi-resolution remote sensing imagery by He, Y., Pflugmacher, D., Martius, C.

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The combined impact of shallow groundwater and soil salinity on evapotranspiration using remote sensing in an agricultural alluvial setting by Aboelsoud, Hesham, Habib, Ayman, Engel, Bernard A., Hashem, Ahmed A., El-Hassan, Waleed Abou, Govind, Ajit, Elnashar, Abdelrazek, Eid, Mona, Kheir, Ahmed M.S.

“…The study’s findings highlight the importance of remote sensing and GIS techniques for quickly and cheaply assessing the impact of shallow GW and soil salinity on evapotranspiration over large geographic areas.…”
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Low-cost sensors and multitemporal remote sensing for operational turbidity monitoring in an East African wetland environment by Steinbach, S., Rienow, A., Chege, M. W., Dedring, N., Kipkemboi, W., Thiong’o, B. K., Zwart, Sander J., Nelson, A.

“…We conclude that combined monitoring with low-cost sensors and remote sensing can support wetland and water management while strengthening community-centered approaches.…”
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Implications of landscape configuration on understory forage productivity: a remote sensing assessment of native forests openings by Trinco, Fabio Daniel, Rusch, Veronica Elena, Howison, Ruth Alison, Garibaldi, Lucas Alejandro, Tittonell, Pablo Adrian

“…We obtained data of each opening related with herbaceous and shrub forage productivity and calculated landscape metrics. …”
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Spatial and temporal patterns of herbaceous primary production in semi‐arid shrublands: a remote sensing approach by Blanco, Lisandro Javier, Paruelo, José María, Oesterheld, Martin, Biurrun, Fernando Noe

“…Questions: Can herbaceous above‐ground net primary production (ANPP) be estimated from remote sensing when woody and herbaceous plants are intermingled? …”
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Development of web-based Small-Scale Irrigation Management Information System (SSIMIS) to facilitate data collection, storage, management, and analysis by CGIAR Research Program on Climate Change, Agriculture and Food Security

Subjects: “…remote sensing…”
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Global Rice Paddy Inventory (GRPI): A high-resolution inventory of methane emissions from rice agriculture based on landsat satellite inundation data by Chen, Zichong, Lin, Haipeng, Balasus, Nicholas, Hardy, Andy, East, James D., Zhang, Yuzhong, Runkle, Benjamin R. K., Hancock, Sarah E., Taylor, Charles A., Du, Xinming, Sander, Bjoern Ole, Jacob, Daniel J.

Subjects: “…data analysis…”
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Soybean frogeye leaf spot [Cercospora sojina] : first weather-based prediction models developed from weather station and satellite data by Sepulcri, Maria Gabriela, Moschini, Ricardo Carlos, Carmona, Marcelo Anibal

Subjects: “…Climatic Data…”
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Bringing together measurements and data science for better nitrous oxide emission accounting in data-poor regions by Harris, E., Barthel, M., Leitner, Sonja, Ouma, T., Agredazywczuk, P., Otinga, A., Njoroge, R., Oduor, Collins, Oluoch, K. C.

“…Measurement innovations focusing on low-cost sensing of N2O will provide much needed data in remote and developing regions. …”
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Local calibration of remotely sensed rainfall from the TRMM satellite for different periods and spatial scales in the Indus Basin by Cheema, Muhammad Jehanzeb Masud, Bastiaanssen, Wim G.M.

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Preliminary approach for the detection of olive trees infected by Xylella fastidiosa using a field robot and proximal sensing by López, Santiago, Cubero, Sergio, Aleixos, Nuria, Alegre, Vicente, Rey, Beatriz, Aguilar, Enrique, Blasco, José

“…The equipment is completed by a GPS to geolocate the data obtained and an IMU (inertial measurement unit) to correct the data captured by the LiDAR. …”
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Remote sensing and census based assessment and scope for improvement of rice and wheat water productivity in the Indo-Gangetic Basin by Cai, X.L., Sharma, Bharat R.

“…This paper presents a simplified approach to combine remote sensing, census and weather data to analyze basin rice and wheat WP in In-do-Gangetic River Basin, South Asia. …”
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In-season crop yield forecasting in Africa by coupling remote sensing and crop modeling: A systematic literature review by Xiong, Wei

“…Previous studies have proposed models for estimating canopy state variables and soil properties based on remote sensing data and assimilating these estimated canopy state variables into crop models. …”
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Mapping of groundwater potential zones across Ghana using remote sensing, geographic information systems, and spatial modeling by Gumma, Murali K., Pavelic, Paul

“…Groundwater potential zones were delineated using remote sensing and geographical information system (GIS) techniques drawing from a database that includes climate, geology, and satellite data. …”
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