A spatio-temporal analysis of fire recurrence and extent for semi-arid savanna ecosystems in southern Africa using moderate-resolution satellite imagery

2012 ◽  
Vol 100 ◽  
pp. 72-85 ◽  
Author(s):  
Narcisa G. Pricope ◽  
Michael W. Binford
Keyword(s):  
Satellite Imagery ◽  
Southern Africa ◽  
Temporal Analysis ◽  
Fire Recurrence ◽  
Moderate Resolution ◽  
Spatio Temporal ◽  
Semi Arid

Where do seedlings go? A spatio-temporal analysis of seedling mortality in a semi-arid gypsophyte

Ecography ◽  
2008 ◽  
Vol 31 (6) ◽  
pp. 720-730 ◽  
Author(s):  
Marcelino de la Cruz ◽  
Roberto L. Romao ◽  
Adrián Escudero ◽  
Fernando T. Maestre
Keyword(s):  
Temporal Analysis ◽  
Seedling Mortality ◽  
Spatio Temporal ◽  
Semi Arid

Spatio-temporal analysis of droughts in the semi-arid Pedda Vagu and Ookacheti Vagu watersheds, Mahabubnagar District, India

2014 ◽  
Vol 8 (9) ◽  
pp. 6911-6929 ◽  
Author(s):  
Sreedhar Ganapuram ◽  
R. Nagarajan ◽  
G. Chandra Sehkar ◽  
V. Balaji
Keyword(s):  
Temporal Analysis ◽  
Spatio Temporal ◽  
Semi Arid

scholarly journals Spatio-Temporal Analysis of Satellite Imagery (NDVI) to Identify Terroir and Vineyard Yeast Differences According to Appellation of Origin (AOP) and Biogeographic Origin

J ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 244-256
Author(s):  
Sergio Vélez ◽  
Enrique Barajas ◽  
Pilar Blanco ◽  
José Antonio Rubio ◽  
David Castrillo
Keyword(s):  
Remote Sensing ◽  
Satellite Imagery ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Temporal Analysis ◽  
Landsat 8 ◽  
Appellation Of Origin ◽  
Core Concepts ◽  
Spatio Temporal ◽  
Plant Habitat

Terroir is one of the core concepts associated with wine and presumes that the land from which the grapes are grown, the plant habitat, imparts a unique quality that is specific to that growing site. Additionally, numerous factors can influence yeast diversity, and terroir is among the most relevant. Therefore, it can be interesting to use Remote Sensing tools that help identify and give helpful information about the terroir and key characteristics that define the AOP (Appellation of Origin). In this study, the NDVI (Normalized Difference Vegetation Index) calculated from Landsat 8 imagery was used to perform a spatio-temporal analysis during 2013, 2014, and 2015 of several vineyards belonging to four different AOP in Galicia (Spain). This work shows that it is possible to use Remote Sensing for AOP delimitation. Results suggest: (i) satellite imagery can establish differences in terroir, (ii) the higher the NDVI, the higher the yeast species richness, (iii) the relationship between NDVI, terroir, and yeasts shows a stable trend over the years (Pearson’s r = 0.3894, p = 0.0119).

scholarly journals Spatio-Temporal Analysis of Landuse/Landcover Change of District Pishin Using Satellite Imagery and GIS

2016 ◽  
Vol 08 (03) ◽  
pp. 361-368 ◽  
Author(s):  
Sanaullah Khan ◽  
Said Qasim ◽  
Romana Ambreen ◽  
Zia-Ul-Haq Syed
Keyword(s):  
Satellite Imagery ◽  
Temporal Analysis ◽  
Landcover Change ◽  
Spatio Temporal

scholarly journals Spatio-Temporal Variations of Rainfall and SST Anomaly over Indonesia during ENSO Modoki Event in 2010

2015 ◽  
Vol 1 (1) ◽  
pp. 23 ◽  
Author(s):  
Abd. Rahman As-syakur
Keyword(s):  
Southern Oscillation ◽  
Tropical Rainfall Measuring Mission ◽  
Temporal Analysis ◽  
Temporal Variations ◽  
Rainfall Anomaly ◽  
Enso Modoki ◽  
Spatial And Temporal Analysis ◽  
Moderate Resolution ◽  
Sst Anomaly ◽  
Spatio Temporal

Remote sensing application is one of the best data to observing spatial and temporal situation on earth surface. Application of Tropical Rainfall Measuring Mission (TRMM) and MODIS (Moderate Resolution Imaging Spectro-radiometer) are use for spatial and temporal analysis of rainfall and sea surface temperature (SST) anomaly over Indonesia in 2010. Spatial and temporal rainfall and SST anomaly data is important, especially during El Niño–Southern Oscillation (ENSO) Modoki events, because has wide effect of social and economy in Indonesia. Monthly rainfall data measured by the TRMM 3B43 over the course of 13 years and Monthly SST collected by the MODIS was employed to analyze anomaly of rainfall and SST over Indonesia during ENSO Modoki Event in 2010. In spatio-temporal seen confirmed during ENSO Modoki in 2010 indicate an anomaly has occurred on rainfall and SST over Indonesia. The result shows that increasing of rainfall anomaly begin from April in Nusa Tenggara archipelago and eastern of Java and finish in November in those region. Meanwhile, analysis result of MODIS satellite data for SST anomaly is shown at the beginning of 2010, SST anomaly begin occurred in western of Indonesia and the biggest was happen in southern of Indonesia at August to September and finish at November. Spatio-temporal analysis TRMM dan MODIS data shows that increasing of SST anomaly could affect increasing of rainfall anomaly in those same regions excepted in January to March.

Sign in / Sign up

Export Citation Format

Share Document