Search Results - Sense data.

Satellite-Powered Crop Insurance to Protect Rice Farmers from Climate Risk in the Philippines by Raviz, J. V., De La Cruz, I. Q., Gutierrez, M. A. R., Alosnos E. D., Garcia C. A., Villano L. S., Hellin J., Laborte A. G.

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How to know more about forests?: supply and use of information for forest policy by Janz, K., Persson, R.

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Satellite rainfall products outperform ground observations for landslide prediction in India by Brunetti, M. T., Melillo, M., Gariano, S. L., Ciabatta, L., Brocca, L., Amarnath, Giriraj, Peruccacci, S.

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An Improved Cloud Gap-Filling Method for Longwave Infrared Land Surface Temperatures through Introducing Passive Microwave Techniques by Dowling, Thomas P. F., Song, Peilin, Jong, Mark C. de, Merbold, Lutz, Wooster, Martin J., Huang, Jingfeng, Zhang, Yongqiang

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Climate-smart agriculture is good for business: A framework for establishing the business case for climate-smart agriculture investments by Nowak, Andreea C., Steward, Peter R., Namoi, Nictor, Mayzelle, Megan, Kamau, Hannah N., Lamanna, Christine, Rosenstock, Todd S.

“…Climate-smart agriculture (CSA) makes financial sense for businesses. Governments are increasingly holding the private sector responsible for their role in climate change impacts. …”
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Ratoon rice mapping based on Sentinel-1 and Sentinel-2 imagery by Fikriyah, Vidya Nahdhiyatul, Darvishzadeh, Roshanak, Laborte, Alice, Nelson, Andrew

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Developing a water budget for the Amman-Zarqa Basin using Water Accounting Plus and the pixel-based soil water balance model by Amdar, Nafn, Seyoum, S., Al-Bakri, J., Rutten, M., Jewitt, G., Mul, M.

“…Such assessments require sufficient data in space and time. The WaPOR-based Water Accounting Plus (WA +) framework is relevant as it integrates remote sensing data and the Pixel-Based Soil Water Balance model to simulate a basin’s water balance. …”
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Ground and satellite based detection of rangeland management in per humid grasslands of Argentina by Kurtz, Ditmar Bernardo

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Prediction of the impact of logging activities on forest cover: a case study in East province of Cameroon by Mertens, B., Forni, E., Lambin, E.F.

“…Geographic information system techniques were used in combination with remote sensing data to define the net commercial value of standing timber at two sites (Batouri and Bertoua) in the East province of Cameroon. …”
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Use of a hydrological model for environmental management of the Usangu Wetlands, Tanzania by Kashaigili, Japhet J., McCartney, Matthew P., Mahoo, H.F., Lankford, B.A., Mbilinyi, B.P., Yawson, Daniel K., Tumbo, S.D.

“…This report presents the findings of a study to assess changes to flows into, and downstream of, the Usangu Wetlands, located in the headwaters of the Great Ruaha River, Tanzania. Hydrological data, in conjunction with remote sensing techniques, were used to provide insights into changes that have occurred to the Eastern Wetland. …”
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The Karkheh River Basin: the food basket of Iran under pressure. by Ahmad, M.D., Giordano, Mark

“…Crop water consumption, based on satellite remote sensing and crop yield data, was used to estimate crop water productivity (CWP) in irrigated and rainfed wheat areas in five sub-basins. …”
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Assessment of sal (Shorea robusta) forest phenology and its response to climatic variables in India by Nandy, S., Ghosh, Surajit, Singh, S.

“…Remote sensing-based observation provides an opportunity to study the spatiotemporal variations of plant phenology across the landscapes. …”
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Retrieval of Evapotranspiration from Sentinel-2: Comparison of Vegetation Indices, Semi-Empirical Models and SNAP Biophysical Processor Approach by Pasqualotto, Nieves, D’Urso, Guido, Falanga Bolognesi, Salvatore, Belfiore, Oscar Rosario, Wittenberghe, Shari Van, Delegido, Jesús, Pezzola, Nestor Alejandro, Winschel, Cristina Ines, Moreno, José

“…Remote sensing evapotranspiration estimation over agricultural areas is increasingly used for irrigation management during the crop growing cycle. …”
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Diversidad socioproductiva y comercial de la horticultura sanjuanina by Karol, Ana

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Spatial database of planted forests in East Asia by Abbasi, Akane O., Tang, Xiaolu, Harris, Nancy L., Goldman, Elizabeth D., Gamarra, Javier G. P., Herold, Martin, Kim, Hyun Seok, Luo, Weixue, Silva, Carlos Alberto, Tchebakova, Nadezhda M., Mitra, Ankita, Finegold, Yelena, Jahanshahi, Mohammad Reza, Alvarez, Cesar Ivan, Kim, Tae Kyung, Ryu, Daun, Liang, Jingjing

“…Here, based on extensive in situ and remote sensing data, as well as an ensemble modeling approach, we present the first spatial database of planted forests for East Asia, which consists of maps of the geographic distribution of planted forests and associated dominant tree genera. …”
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The ability of sun-induced chlorophyll fluorescence from OCO-2 and MODIS-EVI to monitor spatial variations of soybean and maize yields in the Midwestern USA by Gao, Yun, Wang, Songhan, Guan, Kaiyu, Wolanin, Aleksandra, You, Liangzhi, Ju, Weimin, Zhang, Yongguang

“…The framework of this study could be applied to different regions and other types of crops to employ deep learning for crop yield forecasting by combining different types of remote sensing data (such as OCO-2 SIF and MODIS EVI) and climate data.…”
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Using UAV images and phenotypic traits to predict potato morphology and yield in Peru by Ccopi Trucios, Dennis, Ortega Quispe, Kevin, Castañeda Tinco, Italo, Rios Chavarria, Claudia, Enriquez Pinedo, Lucia, Patricio Rosales, Solanch, Ore Aquino, Zoila, Casanova Nuñez Melgar, David, Agurto Piñarreta, Alex Iván, Zúñiga López, Luz Noemí, Urquizo Barrera, Julio

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Patterns of crop evaporation in the Indus Basin, recognized from the NOAA-AVHRR Satellite by Bastiaanssen, Wim G.M., Chemin, Yann H., Ahmad, Mobin-ud-Din, Asif, S.

“…This paper shows a method to compute consumptive use and soil water availability based on public domain satellite remote sensing data. The entire Indus River system is spatio-temporally modeled using a raster network based on National Oceanic Atmospheric Administration - Advanced Very High Resolution Radiometer (NOAA-AVHRR) data, at a spatial resolution of 1.1 km. …”
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Leveraging state of the art computer vision models for tree monitoring in silvopastoral systems by Ruiz-Hurtado, Andres Felipe, Cardoso, Juan Andres

“…This study explores the application of recent advancements in artificial intelligence models for this purpose, particularly computer vision models applied to remote sensing imagery. Given the characteristic of the available data in the form of satellite and aerial RGB images, some models were tested for different computer vision tasks like tree detection, tree semantic segmentation and tree instance segmentation. …”
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Estimación de la productividad primaria mediante el modelo de eficiencias y sensores remotos by Cristiano, Maria Piedad

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