Search Results - Sense data.

Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery by Silveira, Eduarda M.O., Radeloff, Volker C., Martinuzzi, Sebastián, Martinez Pastur, Guillermo J., Bono, Julieta, Politi, Natalia, Lizarraga, Leónidas, Rivera, Luis O., Ciuffoli, Lucía, Rosas, Yamina M., Olah, Ashley M., Gavier Pizarro, Gregorio Ignacio, Pidgeon, Anna M.

Get full text
Get full text
Get full text

Drivers of afforestation in northern Vietnam: assessing local variations using geographically weighted regression by Clement, Floriane, Orange, Didier, Williams, M., Mulley, C., Epprecht, M.

“…This article identifies drivers of forest transition in a province of Northern Vietnam between 1993 and 2000 by applying geographically weighted regression (GWR) analysis to remotely sensed and statistical data. The regression model highlighted the spatial variation of the relationship between the percentage of land afforested and its proximate causes. …”
Get full text

Integrated hydrological modelling of wetlands for environmental management: the case of the Usangu wetlands in the Great Ruaha catchment by Kashaigili, Japhet J., Mahoo, H.F., McCartney, Matthew P., Lankford, B.A., Mbilinyi, B. P., Mwanuzi, F. L.

“…The study integrated hydrologic data, remote sensing and GIS techniques to study the dynamics and spatial response of the wetlands. …”
Get full text

Predicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model by Parmentier, I., Harrigan, R.J., Buermann, W., Mitchard, E.T.A., Saatchi, S., Malhi, Y., Bongers, F., Hawthorne, W.D., Leal, M.E., Lewis, S.L., Nusbaumer, L., Sheil, Douglas, Sosef, M.S.M., Affum-Baffoe, K., Bakayoko, A., Chuyong, G.B., Chatelain, C., Comiskey, J.A., Dauby, G., Doucet, J.L., Fauset, S., Gautier, L., Gillet, J.F., Kenfack, D., Kouamé, F.N., Kouassi, E.K., Kouka, L.A., Parren, M.P.E., Peh, K.S.H., Reitsma, J.M., Senterre, B., Sonke, B., Sunderland, Terry C.H., Swaine, M.D., Tchouto, M.G.P., Thomas, D., Valkenburg, J.L.C.H. van, Hardy, Olivier J.

“…Our aim was to evaluate the extent to which we can predict and map tree alpha diversity across broad spatial scales either by using climate and remote sensing data or by exploiting spatial autocorrelation patterns in tropical rain forest, West Africa and Atlantic Central Africa.…”
Get full text

Space-time prediction of maize yields in Southern Africa by Muthoni, Francis K., Parente, Leandro, Thierfelder, Christian L., Diemen, Chris van, Hengl, Tomislov

Get full text

Geoinformatics for landscape ecology and biodiversity research by Amarnath, Giriraj, Bajracharya, B., Shrestha, B.

“…Remote sensing data and techniques address these needs, which include identifying and detailing the biophysical characteristics of species? …”
Get full text

Spatial-temporal trends of rainfall, maximum and minimum temperatures over west Africa by Muthoni, F.

Get full text

Perceived tenure (in)security in the era of rural transformation: Gender-disaggregated analysis from Mozambique by Ghebru, Hosaena, Girmachew, Fikirte

Get full text

Application of geomorphometric characteristics to prioritize watersheds for soil and water conservation practices in the Lake Tana Basin, Ethiopia by Bogale, A. G., Adem, Anwar A., Mekuria, Wolde, Steenhuis, T. S.

“…This study employed geomorphometric analysis to characterize the four major watersheds (Gilgel Abay, Gumara, Rib, and Megech) of Lake Tana sub-basin, Ethiopia, and prioritize the watersheds for the implementation of SWC practices using GIS and remote sensing techniques. Also, the study analyzed streamflow and sediment data recorded at the outlets of each watershed to associate the geomorphometric prioritization result with recordings of the watersheds. …”
Get full text

Criterios para planificación del uso de la tierra en los Llanos Orientales colombianos, basado en unidades de paisaje. Estudio de caso: Municipio de Puerto López, Projecto conjunto... by Rubiano Sanabria, Yolanda, Santana Rodríguez, LM, Beaulieu, Nathalie

Get full text

Mapping agricultural responses to water supply shocks in large irrigation systems, southern India by Biggs, Trent W., Gangadhara Rao, Parthasaradhi, Bharati, Luna

Get full text

Insight for sustainable supplemental irrigation development for cocoa in changing Ghana’s agroforestry landscapes by Tilahun, Seifu A., Amponsah, Andoh, Atampugre, Gerald, Zemadim, Birhanu, Dembélé, Moctar, Darko, S., Mabhaudhi, Tafadzwanashe, Cofie, Olufunke O.

Get full text

Detection and segmentation of vine canopy in ultra-high spatial resolution RGB imagery obtained from unmanned aerial vehicle (UAV) :a case study in a commercial vineyard by Poblete Echeverria, Carlos, Olmedo, Guillermo Federico, Ingram, Ben, Bardeen, Matthew

Get full text
Get full text
Get full text

Estimation of forage biomass in oat (Avena sativa) using agronomic variables through UAV multispectral imaging by Urquizo Barrera, Julio Cesar, Ccopi Trucios, Dennis, Ortega Quispe, Kevin, Castañeda Tinco, Italo, Patricio Rosales, Solanch, Passuni Huayta, Jorge, Figueroa Venegas, Deyanira, Enriquez Pinedo, Lucia, Ore Aquino, Zoila, Pizarro Carcausto, Samuel

Get full text
Get full text

Field validation of NDVI to identify crop phenological signatures by Bhatti, Muhammad Tousif, Gilani, Hammad, Ashraf, M., Iqbal, Muhammad Shahid, Munir, Sarfraz

“…The resolution of satellite data is low therefore gap filling and smoothening filters were applied to the time series data. …”
Get full text

NDVI Response to Satellite-Estimated Antecedent Precipitation in Dryland Pastures by Brieva, Carlos Alberto, Saco, Patricia M., Sandi, Steven G., Mora, Sebastian, Rodríguez, José F.

Get full text
Get full text
Get full text

Influence of resolution in irrigated area mapping and area estimation by Velpuri, Naga Manohar, Thenkabail, Prasad S., Gumma, Murali K., Biradar, Chandrashekhar M., Dheeravath, Venkateswarlu, Noojipady, P., Yuanjie, L.

Get full text

Managing water resources in agriculture: opportunities from earth observation. [Abstract only]. by Amarnath, Giriraj, Sharma, Bharat R., Smakhtin, Vladimir U.

Get full text

Geospatial analysis enables combined poultry–fish farm monitoring in the fragile state of Myanmar by Belton, Ben, Fang, Peixun, Liu, Shuo, Zhang, Kaifeng, Zhang, Xiaobo

“…Food security is challenging to measure in fragile contexts. Here we combine data from previous field surveys with remotely sensed images and apply deep-learning techniques to estimate changes in the number and area of chicken houses on integrated chicken–fish farms and the supply of chicken meat and eggs from 2010 to 2023 in Yangon region, Myanmar. …”
Get full text

Integrating coarse-resolution images and agricultural statistics to generate sub-pixel crop type maps and reconciled area estimates by Hu, Qiong, Yin, He, Friedl, Mark A., You, Liangzhi, Li, Zhaoliang, Tang, Huajun, Wu, Wenbin

Get full text