Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Google Earth Engine Applications / / Lalit Kumar, Onisimo Mutanga
| Google Earth Engine Applications / / Lalit Kumar, Onisimo Mutanga |
| Autore | Kumar Lalit |
| Pubbl/distr/stampa | [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2019 |
| Descrizione fisica | 1 online resource (420 pages) |
| Disciplina | 910.285 |
| Soggetto topico | Geographic information systems |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674004503321 |
Kumar Lalit
|
||
| [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Google Earth Engine Applications / / Lalit Kumar, Onisimo Mutanga
| Google Earth Engine Applications / / Lalit Kumar, Onisimo Mutanga |
| Autore | Kumar Lalit |
| Pubbl/distr/stampa | Basel, Switzerland : , : MDPI, , 2019 |
| Descrizione fisica | 1 online resource (420 pages) |
| Disciplina | 910.285 |
| Soggetto topico | Google Earth |
| ISBN |
9783038978855
303897885X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | About the Special Issue Editors . ix -- Onisimo Mutanga and Lalit Kumar Google Earth Engine Applications Reprinted from: Remote Sens. 2019, 11, 591, doi:10.3390/rs11050591 . 1 -- Lalit Kumar and Onisimo Mutanga Google Earth Engine Applications Since Inception: Usage, Trends, and Potential Reprinted from: Remote Sens. 2018, 10, 1509, doi:10.3390/rs10101509 . 5 -- Manuel Campos-Taberner,Alvaro ´ Moreno-Mart´ınez, Francisco Javier Garc´ıa-Haro, Gustau Camps-Valls, Nathaniel P. Robinson, Jens Kattge, and Steven W. Running Global Estimation of Biophysical Variables from Google Earth Engine Platform Reprinted from: Remote Sens. 2018, 10, 1167, doi:10.3390/rs10081167 . 20 -- Ate Poortinga, Nicholas Clinton, David Saah1, Peter Cutter, Farrukh Chishtie, Kel N.Markert, Eric R. Anderson, Austin Troy, Mark Fenn, Lan Huong Tran, Brian Bean,Quyen Nguyen, Biplov Bhandari, Gary Johnson and Peeranan Towashiraporn An Operational Before-After-Control-Impact (BACI) Designed Platform for Vegetation Monitoring at Planetary Scale Reprinted from: Remote Sens. 2018, 10, 760, doi:10.3390/rs10050760 . 37 -- Yu Hsin Tsai, Douglas Stow, Hsiang Ling Chen, Rebecca Lewison, Li An and Lei Shi Mapping Vegetation and Land Use Types in Fanjingshan National Nature Reserve Using Google Earth Engine Reprinted from: Remote Sens. 2018, 10, 927, doi:10.3390/rs10060927 . 50 -- Nathaniel P. Robinson, Brady W. Allred, Matthew O. Jones, Alvaro Moreno, John S. Kimball, David E. Naugle, Tyler A. Erickson and Andrew D. Richardson A Dynamic Landsat Derived Normalized Difference Vegetation Index (NDVI) Product for the Conterminous United States Reprinted from: Remote Sens. 2017, 9, 863, doi:10.3390/rs9080863 . 64 -- Ran Goldblatt, Alexis Rivera Ballesteros and Jennifer Burney High Spatial Resolution Visual Band Imagery Outperforms Medium Resolution Spectral Imagery for Ecosystem Assessment in the Semi-Arid Brazilian Sertao˜ Reprinted from: Remote Sens. 2017, 9, 1336, doi:10.3390/rs9121336 78 -- Leandro Parente and Laerte Ferreira Assessing the Spatial and Occupation Dynamics of the Brazilian Pasturelands Based on the Automated Classification of MODIS Images from 2000 to 2016 Reprinted from: Remote Sens. 2018, 10, 606, doi:10.3390/rs10040606 . 104 -- Dimosthenis Traganos, Bharat Aggarwal, Dimitris Poursanidis, Konstantinos Topouzelis, Nektarios Chrysoulakis and Peter Reinartz Towards Global-Scale Seagrass Mapping and Monitoring Using Sentinel-2 on Google Earth Engine: The Case Study of the Aegean and Ionian Seas Reprinted from: Remote Sens. 2018, 10, 1227, doi:10.3390/rs10081227 . 118 -- Jacky Lee, Jeffrey A. Cardille and Michael T. Coe BULC-U: Sharpening Resolution and Improving Accuracy of Land-Use/Land-Cover Classifications in Google Earth Engine Reprinted from: Remote Sens. 2018, 10, 1455, doi:10.3390/rs10091455 . 132 -- Roberta Ravanelli, Andrea Nascetti, Raffaella Valeria Cirigliano, Clarissa Di Rico, Giovanni Leuzzi, Paolo Monti and Mattia Crespi Monitoring the Impact of Land Cover Change on Surface Urban Heat Island through Google Earth Engine: Proposal of a Global Methodology, First Applications and Problems Reprinted from: Remote Sens. 2018, 10, 1488, doi:10.3390/rs10091488 . 153 -- Mingzhu He, John S. Kimball, Marco P. Maneta, Bruce D. Maxwell, Alvaro Moreno, Santiago Beguer´ıa and Xiaocui Wu Regional Crop Gross Primary Productivity and Yield Estimation Using Fused Landsat-MODIS Data Reprinted from: Remote Sens. 2018, 10, 372, doi:10.3390/rs10030372 . 174 -- Masoud Mahdianpari, Bahram Salehi, Fariba Mohammadimanesh, Saeid Homayouni and Eric Gill The First Wetland Inventory Map of Newfoundland at a Spatial Resolution of 10 m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform Reprinted from: Remote Sens. 2019, 11, 43, doi:10.3390/rs11010043 195 -- Rosa Aguilar, Raul Zurita-Milla, Emma Izquierdo-Verdiguier and Rolf A. de By A Cloud-Based Multi-Temporal Ensemble Classifier to Map Smallholder Farming Systems Reprinted from: Remote Sens. 2018, 10, 729, doi:10.3390/rs10050729 . 222 -- Jun Xiong, Prasad S. Thenkabail, James C. Tilton, Murali K. Gumma, Pardhasaradhi Teluguntla, Adam Oliphant, Russell G. Congalton, Kamini Yadav and Noel Gorelick Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine Reprinted from: Remote Sens. 2016, .9, 1065, doi:10.3390/rs9101065 240 -- Eric A. Sproles, Ryan L. Crumley, Anne W. Nolin, Eugene Mar and Juan Ignacio Lopez Moreno SnowCloudHydro-A New Framework for Forecasting Streamflow in Snowy, Data-Scarce Regions Reprinted from: Remote Sens. 2018, 10, 1276, doi:10.3390/rs10081276 . 267 -- Cheng-Chien Liu, Ming-Chang Shieh, Ming-Syun Ke and Kung-Hwa Wang Flood Prevention and Emergency Response System Powered by Google Earth Engine Reprinted from: Remote Sens. 2018, 10, 1283, doi:10.3390/rs10081283 . 282 -- Nazmus Sazib, Iliana Mladenova and John Bolten Leveraging the Google Earth Engine for Drought Assessment Using Global Soil Moisture Data Reprinted from: Remote Sens. 2018, 10, 1265, doi:10.3390/rs10081265 . 302 -- Gonzalo Mateo-Garc´ıa, Luis Gomez-Chova, ´ Julia Amoros-L ´ opez, ´ Jordi Munoz-Mar´ı, ˜ Gustau Camps-Valls Multitemporal Cloud Masking in the Google Earth Engine Reprinted from: Remote Sens. 2018, 10, 1079, doi:10.3390/rs10071079 . 325 -- Kel N. Markert, Calla M. Schmidt, Robert E. Griffin, Africa I. Flores, Ate Poortinga, David S. Saah, Rebekke E. Muench, Nicholas E. Clinton, Farrukh Chishtie, Kritsana Kityuttachai, Paradis Someth, Eric R. Anderson, Aekkapol Aekakkararungroj and David J. Ganz Historical and Operational Monitoring of Surface Sediments in the Lower Mekong Basin Using Landsat and Google Earth Engine Cloud Computing Reprinted from: Remote Sens. 2018, 10, 909, doi:10.3390/rs10060909 . 343 -- Felipe de Lucia Lobo, Pedro Walfir M. Souza-Filho, Evlyn M´arcia Le ˜ao de Moraes Novo, Felipe Menino Carlos and Claudio Clemente Faria Barbosa Mapping Mining Areas in the Brazilian Amazon Using MSI/Sentinel-2 Imagery (2017) Reprinted from: Remote Sens. 2018, 10, 1178, doi:10.3390/rs10081178 . 362 -- Dimosthenis Traganos, Dimitris Poursanidis, Bharat Aggarwal, Nektarios Chrysoulakis and Peter Reinartz Estimating Satellite-Derived Bathymetry (SDB) with the Google Earth Engine and Sentinel-2 Reprinted from: Remote Sens. 2018, 10, 859, doi:10.3390/rs10060859 . 376 -- Sean A. Parks, Lisa M. Holsinger, Morgan A. Voss, Rachel A. Loehman and Nathaniel P. Robinson Mean Composite Fire Severity Metrics Computed with Google Earth Engine Offer Improved Accuracy and Expanded Mapping Potential Reprinted from: Remote Sens. 2018, 10, 879, doi:10.3390/rs10060879 . 394. |
| Record Nr. | UNINA-9910765758803321 |
|
Kumar Lalit
|
||
| Basel, Switzerland : , : MDPI, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remote Sensing of Above Ground Biomass / Lalit Kumar, Onisimo Mutanga
| Remote Sensing of Above Ground Biomass / Lalit Kumar, Onisimo Mutanga |
| Autore | Kumar Lalit |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (264 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
NDLMA
multi-angle remote sensing TerraSAR-X above ground biomass stem volume regression analysis ground-based remote sensing sensor fusion pasture biomass grazing management livestock mixed forest SPLSR estimation accuracy Bidirectional Reflectance Distribution Factor forage crops Land Surface Phenology climate change vegetation index dry biomass mapping rangeland productivity vegetation indices error analysis broadleaves remote sensing applicability evaluation ultrasonic sensor chlorophyll index alpine meadow grassland forest biomass anthropogenic disturbance fractional vegetation cover alpine grassland conservation carbon mitigation conifer short grass grazing exclusion MODIS time series random forest aboveground biomass NDVI AquaCrop model inversion model wetlands field spectrometry spectral index yield foliage projective cover lidar correlation coefficient Sahel biomass dry matter index Niger Landsat grass biomass particle swarm optimization winter wheat carbon inventory rice forest structure information MODIS light detection and ranging (LiDAR) ALOS2 ecological policies above-ground biomass Wambiana grazing trial food security forest above ground biomass (AGB) Atriplex nummularia regional sustainability CIRed-edge |
| ISBN |
9783039212101
3039212109 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367567003321 |
|
Kumar Lalit
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||