Filters








89 Hits in 5.9 sec

Regional Crop Gross Primary Productivity and Yield Estimation Using Fused Landsat-MODIS Data

Mingzhu He, John Kimball, Marco Maneta, Bruce Maxwell, Alvaro Moreno, Santiago Beguería, Xiaocui Wu
2018 Remote Sensing  
We used a satellite data-driven light use efficiency (LUE) model to estimate gross primary productivity (GPP) over croplands at 30-m spatial resolution and eight-day time steps using a fused NDVI dataset  ...  Another approach involves estimating crop yield as the product of vegetation gross primary productivity (GPP) and an empirical harvest index (HI) specific to different crop types.  ...  ; and (c) 30-m NDVI created by fusing Landsat and MODIS data from(a, b).  ... 
doi:10.3390/rs10030372 fatcat:4kfdokcr7jdr7ivwhucp2bkxqq

Modelling Crop Biomass from Synthetic Remote Sensing Time Series: Example for the DEMMIN Test Site, Germany

Maninder Singh Dhillon, Thorsten Dahms, Carina Kuebert-Flock, Erik Borg, Christopher Conrad, Tobias Ullmann
2020 Remote Sensing  
Along with this, the study investigates the data fusion of Landsat (30 m) and Moderate Resolution Imaging Spectroradiometer (MODIS) (500 m) data using the spatial and temporal reflectance adaptive reflectance  ...  The modelled crop biomass using synthetic RS data is compared to the model outputs using the original MODIS time series as well.  ...  Satellite Data For the spatial-temporal analysis, the study makes use of Landsat 8 Surface Reflectance Code (LASRC) products and MODIS datasets.  ... 
doi:10.3390/rs12111819 fatcat:66ttktpqi5d6nanejda2bq5fly

Estimation of Vegetation Productivity Using a Landsat 8 Time Series in a Heavily Urbanized Area, Central China

Meng Zhang, Hui Lin, Hua Sun, Yaotong Cai
2019 Remote Sensing  
The results indicate that the NPP estimated by the fused NDVI data has more detailed spatial information than by using the MODIS data.  ...  Estimating the net primary production (NPP) of vegetation is essential for eco-environment conservation and carbon cycle research.  ...  Acknowledgments: The authors would like to thank the editors and anonymous reviewers for valuable comments, which are significant for improving this manuscript.  ... 
doi:10.3390/rs11020133 fatcat:zaqtgdewiba3fldx57lvwwwh5u

Google Earth Engine Applications

Onisimo Mutanga, Lalit Kumar
2019 Remote Sensing  
The Google Earth Engine (GEE) is a cloud computing platform designed to store and process huge data sets (at petabyte-scale) for analysis and ultimate decision making [...]  ...  Acknowledgments: This work was supported by the DST/NRF Chair in Land use planning and management, Grant No. 84157. Conflicts of Interest: The authors declare no conflict of interest.  ...  The GEE platform provided an opportunity to fuse Terra MODIS data and Landsat to estimate Gross Primary Productivity of seven crops in Montana, USA from 2008-2015 at 30 m spatial resolution [11] .  ... 
doi:10.3390/rs11050591 fatcat:itf7bqx7hbaexjerlux6z6bn2m

Combined Use of Landsat-8 and Sentinel-2A Images for Winter Crop Mapping and Winter Wheat Yield Assessment at Regional Scale

Sergii Skakun, Eric Vermote, Jean-Claude Roger, Belen Franch
2017 AIMS Geosciences  
This paper explores the combined use of Landsat-8 and Sentinel-2A for winter crop mapping and winter wheat yield assessment at regional scale.  ...  Timely and accurate information on crop yield and production is critical to many applications within agriculture monitoring.  ...  For example, Johnson (2016) [5] analyzed efficiency of multiple MODIS land products including NDVI, EVI, LAI, FPAR, and Gross Primary Production (GPP) to assess crop yield at county level in US for  ... 
doi:10.3934/geosci.2017.2.163 pmid:29888751 pmcid:PMC5992624 fatcat:kq5zr5m47re47miguet3ailm7m

The Role of Earth Observation in Achieving Sustainable Agricultural Production in Arid and Semi-Arid Regions of the World

Sarchil Hama Qader, Jadu Dash, Victor A. Alegana, Nabaz R. Khwarahm, Andrew J. Tatem, Peter M. Atkinson
2021 Remote Sensing  
We demonstrate that agricultural activities can be monitored effectively and both crop area and crop yield can be predicted in advance using RS data.  ...  Thirdly, it illustrates the challenges of employing freely available RS data for mapping and monitoring crop area, crop status and forecasting crop yield in these regions.  ...  Many studies revealed the close relationship between chlorophyll content and Gross Primary Yield (GPP) [211, 212] .  ... 
doi:10.3390/rs13173382 fatcat:gva463nkdjbark4odzswvqg7l4

The potential of satellite-observed crop phenology to enhance yield gap assessments in smallholder landscapes

John M. A. Duncan, Jadunandan Dash, Peter M. Atkinson
2015 Frontiers in Environmental Science  
However, on a practical level the spatial mismatch between the resolution at which crop phenology can be estimated from satellite remote sensing data and the scale of yield variability in smallholder croplands  ...  It is suggested that on a theoretical level phenological approaches can reveal greater intra-cropland thematic detail, and increase the accuracy of crop extent maps and crop yield estimates.  ...  Acknowledgments The authors would like to acknowledge the Leverhulme Trust who provides funds for JMAD and JD.  ... 
doi:10.3389/fenvs.2015.00056 fatcat:kfbw6w5bdzefro4kp3fllxtpuy

Framework for agricultural performance assessment based on MODIS multitemporal data

Dimo Dimov, Fabian Löw, Johannes H. Uhl, Shavkat Kenjabaev, Olena Dubovyk, Mirzahayot Ibrakhimov, Chandrashekhar Biradar
2019 Journal of Applied Remote Sensing  
We derive these subindicators from net primary productivity and evapotranspiration data obtained from the MODIS sensor on board the Terra satellite during the observation period from 2000 to 2016, as well  ...  concerns of a global slowdown in growth rates of harvested yield are inconsistent with recent evidence of increased cropping intensity, 2 in fact, some regions are affected by a slowdown in agricultural  ...  contributed to the data analysis sections of this study.  ... 
doi:10.1117/1.jrs.13.025501 fatcat:dvezh3lhyjhlzh7dkuzp37wbna

BESS-STAIR: a framework to estimate daily, 30-meter, and allweather crop evapotranspiration using multi-source satellite data for the U.S. Corn Belt

Chongya Jiang, Kaiyu Guan, Ming Pan, Youngryel Ryu, Bin Peng, Sibo Wang
2019 Hydrology and Earth System Sciences Discussions  
In this framework, STAIR provides daily 30-meter multispectral surface reflectance by fusing Landsat and MODIS satellite data to derive fine-resolution leaf area index and visible/near-infrared albedo,  ...  all of which, along with coarse-resolution meteorological and CO<sub>2</sub> data, are used to drive BESS to estimate gap-free 30-m resolution daily ET.  ...  including the 5-km resolution global radiation (Rg) and photosynthetically active radiation (PAR) and diffuse PAR products , and 1-km resolution gross primary productivity (GPP) and ET products (Jiang  ... 
doi:10.5194/hess-2019-376 fatcat:cxzpcyzkojbwtd5ksuperyqmly

Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions

2018 Remote Sensing  
As a result, integrated use of data from different sensors has become increasingly popular in the past decade.  ...  This diversity brings difficulties for users to choose an appropriate method for their specific applications and data sets.  ...  The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.  ... 
doi:10.3390/rs10040527 fatcat:lplwrowbfvhehb3qjjsaejjo4a

High-Resolution Monitoring and Assessment of Evapotranspiration and Gross Primary Production Using Remote Sensing in a Typical Arid Region

Junxia Yan, Yanfei Ma, Dongyun Zhang, Zechen Li, Weike Zhang, Zhenhua Wu, Hui Wang, Lihua Wen
2021 Land  
Land surface evapotranspiration (ET) and gross primary productivity (GPP) are critical components in terrestrial ecosystems with water and carbon cycles.  ...  In this study, the revised surface energy balance system (SEBS) model and MOD17 GPP algorithm were used to estimate daily ET and GPP at 100 m resolution based on multi-source satellite remote sensing data  ...  The ground-measured dataset was provided by the National Tibetan Plateau Data Center (https://data.tpdc.ac.cn/ accessed on 6 April 2021).  ... 
doi:10.3390/land10040396 fatcat:axl663meevbstjhcp2sanhedku

BESS-STAIR: a framework to estimate daily, 30 m, and all-weather crop evapotranspiration using multi-source satellite data for the US Corn Belt

Chongya Jiang, Kaiyu Guan, Ming Pan, Youngryel Ryu, Bin Peng, Sibo Wang
2020 Hydrology and Earth System Sciences  
In this framework, STAIR provides daily 30 m multispectral surface reflectance by fusing Landsat and MODIS satellite data to derive a fine-resolution leaf area index and visible/near-infrared albedo, all  ...  of which, along with coarse-resolution meteorological and CO2 data, are used to drive BESS to estimate gap-free 30 m resolution daily ET.  ...  PAR products , and 1 km resolution gross primary productivity (GPP) and ET products (Jiang and Ryu, 2016) , which enables tracking of crop growth and yields too (Huang et al., 2018) .  ... 
doi:10.5194/hess-24-1251-2020 fatcat:gh3jkoctjndhda7wacz7jrelze

Monitoring Rice Agriculture across Myanmar Using Time Series Sentinel-1 Assisted by Landsat-8 and PALSAR-2

Nathan Torbick, Diya Chowdhury, William Salas, Jiaguo Qi
2017 Remote Sensing  
An updated (2015) land use land cover map fusing Sentinel-1, Landsat-8 OLI, and PALSAR-2 were integrated and classified using a randomforest algorithm.  ...  The outcomes show strong ability to assess and monitor rice production at moderate scales over a large cloud-prone region.  ...  We thank NASA and USGS, ESA, and JAXA for providing Landsat-8, Sentinel-1, and PALSAR-2.  ... 
doi:10.3390/rs9020119 fatcat:xxqgaztegnh2dck4vjr42tfmwi

Status of Phenological Research Using Sentinel-2 Data: A Review

Gourav Misra, Fiona Cawkwell, Astrid Wingler
2020 Remote Sensing  
vegetated areas, and in particular through fusion of the data with those from other sensors, e.g., Sentinel-1, Landsat and MODIS.  ...  Despite the short duration that the Sentinel-2 platforms have been operational, they have proved their potential in a wide range of phenological studies of crops, forests, natural grasslands, and other  ...  The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.  ... 
doi:10.3390/rs12172760 fatcat:c26aoq2gerbyvdsdritson54m4

Evaluation of modelled net primary production using MODIS and landsat satellite data fusion

Steven Jay, Christopher Potter, Robert Crabtree, Vanessa Genovese, Daniel J. Weiss, Maggi Kraft
2016 Carbon Balance and Management  
To improve estimates of net primary production for terrestrial ecosystems of the continental United States, we evaluated a new image fusion technique to incorporate high resolution Landsat land cover data  ...  Monthly measured NPP data values plotted against the revised CASA model outputs resulted in an overall R 2 of 0.72, mainly due to cropland locations where irrigation and crop rotation were not accounted  ...  The MODIS MOD17 product currently estimates gross primary production (GPP) and NPP as a fraction of GPP at a 1-km spatial scale and an 8-day temporal scale. Turner et al.  ... 
doi:10.1186/s13021-016-0049-6 pmid:27330549 pmcid:PMC4889621 fatcat:o5eahfk6jne5llow4dpv4mquga
« Previous Showing results 1 — 15 out of 89 results