[PDF] Top 20 Venezuela: calidad de las elecciones y calidad de la democracia
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Using MODIS Data to Predict Regional Corn Yields
... determined using a date earlier than the actual planting ...sensing data products since DOY 89 was used to determine the t-value and conveniently estimate the logistic function ...when data ... See full document
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Estimating Crop Yields at the Field Level Using Landsat and Modis Products
... to data from polar orbiting satellites, other sources of VIs and other remote sensing indicators can be used, such as airborne imaging and the unmanned aerial vehicle (UAV) surveys by Remotely Piloted Aircraft ... See full document
8
Investigations on growth and P uptake characteristics of maize and sweet corn as influenced by soil P status : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy (Ph D ) (Plant & soil science), Institute of Natural Resources, Massey University, Palmerston North, New Zealand
... sweet corn growing are based on calculated optimum yie lds achieved by using the P ARJI B model (Re id, unpublished results, cited by Reid, ...predicted yields of maize, and a number of other ... See full document
13
Global meta-analysis of the relationship between soil organic matter and crop yields
... to predict how building SOC concen- trations would potentially affect global crop yield ...gridded data prod- ucts. Global SOC, pH, and texture data were taken from IS- RIC SoilGrids (Hengl et ... See full document
17
Estimation of daily average downward shortwave radiation from MODIS data using principal components regression method: Fars province case study
... component using adjusted sinusoidal interpolation (Bisht et ...form MODIS data using only the solar zenith angle and the water vapour amount as the input parameters and mentioned that the ... See full document
9
Monitoring ice break-up on the Mackenzie River using MODIS data
... Ice-run velocities are believed to be the highest where the ice is minimally effected by channel morphology, un- connected from incoming tributaries, and channel splitting which causes the formation of islands (Kääb et ... See full document
20
The Effect of Temporal Gradient of Vegetation Indices on Early-Season Wheat Area Estimation Using Random Forest Classification
... modis data for early crop classification using random forest: A case study in kansas, 446. USA[r] ... See full document
9
Rapid assessment of annual deforestation in the Brazilian Amazon using MODIS data
... deforestation using data from NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) at 250-m resolu- tion is ...to MODIS-derived estimates for six Landsat scenes with five ... See full document
35
An Evaluation of Forest Health Insect and Disease Survey Data and Satellite-Based Remote Sensing Forest Change Detection Methods: Case Studies in the United States
... three algorithms and produced ORS forest change products using both Landsat and MODIS data.. 22.[r] ... See full document
54
Bidirectional Data Import to Hive Using SQOOP
... of data in one Hadoop cluster, you can configure the Hadoop cluster to be one unit of a larger system, connecting it to other systems of Hadoop clusters or even connecting it to the cloud for broader interactions ... See full document
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Enhancing Spatio Temporal Fusion of MODIS and Landsat Data by Incorporating 250 m MODIS Data
... by MODIS sensors to produce more reliable 30 m Landsat-like ...m data are only available for bands 1 and 2 and bands 3 to 7 need to be downscaled to 250 ...m MODIS bands 1 and 2 are fused with 500 m ... See full document
24
Using Data Mining to Predict Students Performance
... Educational data mining is used to extract student data from dataset and transform it into a meaningful and useful structure for further ...are using Logistic Regression algorithm to predict ... See full document
195
Spying on the winter wheat crop - generating objective planted area and crop production estimates using MODIS imagery
... seasons using the HANTS ...classifier using the ground truth data captured for each crop class for each ...truth data is unique to each ... See full document
25
Using Gaze Data to Predict Multiword Expressions
... tracking data from participants reading a complete novel. The use of this data allowed comparison between the gaze patterns of native and non-native English speakers, as well as a comparison of the ... See full document
13
Production of semi real time media-GIS contents using MODIS imagery
... The use of colors (hue), fonts (size and color), and symbols must be carefully selected to meet the technical requirements of the respective media, and target viewers including age groups. Graphics should not hinder the ... See full document
1
Snow Cover Detection Based on Visible Red and Blue Channel from MODIS Imagery Data
... The SCD in mountains and forests can be affected by atmosphere, terrain and snow covered underlying sur- face [12]. Therefore, in this work, the pre-processing including geographic correction, clipping, atmospheric ... See full document
53
Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland
... at regional scale (Cleugh et ...the regional evapotranspiration by means of measurements done locally for a specific land cover ...wetland using the remote sens- ing technology is a very important ... See full document
15
Water Requirements for Corn Yields in the Northern Regions of Cameroon Using AquaCrop Model
... model. Data from 6 cropping seasons, collected from experimental plots in Davis, California, were initially used to calibrate and validate the model ...with data from other regions of the world other than ... See full document
16
Using Growing-Season Precipitation to Predict Crested Wheatgrass Yields.
... Influence of monthly precipitation on forage prooducfion of crested wheafgrass ranges grazed ai differenf.. seasons, Manifou Experimental Forest.[r] ... See full document
26
A coupled remote sensing and the Surface Energy Balance with Topography Algorithm (SEBTA) to estimate actual evapotranspiration over heterogeneous terrain
... large-scale regional ET with the aid of satellite thermal infrared infor- ...mating regional surface ET with the Surface Energy Balance Algorithm for Land (SEBAL) model based on surface en- ergy balance ... See full document
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