Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems

2011 ◽  
Vol 25 (26) ◽  
pp. 4050-4062 ◽  
Author(s):  
Edward P. Glenn ◽  
Christopher M. U. Neale ◽  
Doug J. Hunsaker ◽  
Pamela L. Nagler
Keyword(s):  
Remote Sensing ◽  
Vegetation Index ◽  
Natural Ecosystems ◽  
Crop Coefficients

scholarly journals Exploring the Use of Vegetation Indices for Validating Crop Transpiration Fluxes Computed with the MOHID-Land Model. Application to Vineyard

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1228
Author(s):  
Tiago B. Ramos ◽  
Lucian Simionesei ◽  
Ana R. Oliveira ◽  
Ramiro Neves ◽  
Hanaa Darouich
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
Soil Water ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Vegetation Indices ◽  
Remote Sensing Data ◽  
Soil Water Balance ◽  
Growing Seasons ◽  
Crop Coefficients

The success of an irrigation decision support system (DSS) much depends on the reliability of the information provided to farmers. Remote sensing data can expectably help validate that information at the field scale. In this study, the MOHID-Land model, the core engine of the IrrigaSys DSS, was used to simulate the soil water balance in an irrigated vineyard located in southern Portugal during three growing seasons. Modeled actual basal crop coefficients and transpiration rates were then compared with the corresponding estimates derived from the normalized difference vegetation index (NDVI) computed from Sentinel-2 imagery. On one hand, the hydrological model was able to successfully estimate the soil water balance during the monitored seasons, exposing the need for improved irrigation schedules to minimize percolation losses. On the other hand, remote sensing products found correspondence with model outputs despite the conceptual differences between both approaches. With the necessary precautions, those products can be used to complement the information provided to farmers for irrigation of vine crop, further contributing to the regular validation of model estimates in the absence of field datasets.

scholarly journals REMOTE SENSING APPROACH TO EVALUATE POST-FIRE VEGETATION STRUCTURE

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 1031-1038
Author(s):  
A. Novo ◽  
H. González-Jorge ◽  
J. Martínez-Sánchez ◽  
H. Lorenzo
Keyword(s):  
Remote Sensing ◽  
Forest Fire ◽  
Point Cloud ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Critical Role ◽  
Canopy Cover ◽  
Forest Recovery ◽  
Average Height ◽  
Natural Ecosystems

Abstract. Spain is included in the top five European countries with the highest number of wildfires. Forest fire can produce significant impacts on the structure and functioning of natural ecosystems. After a forest fire, the evaluation of the damage severity and spatial patterns are important for forest recovery planning, which plays a critical role in the sustainability of the forest ecosystem. The process of forest recovery and the ecological and physiological functions of the burned forest area should be continuously monitored. Remote sensing technologies and in special LiDAR are useful to describe the structure of vegetation. The vegetation modelling and the initial changes of forest plant composition are studied in the forest after mapping the burned areas using Landsat-7 images and Sentinel-2 images. Normalized Burn Ratio (NBR) index and Normalized Difference Vegetation Index (NVVI) is calculated as well as the difference before and after fire. The evaluation of temporal changes of vegetation are analysed by statistical variables of the point cloud, average height, standard deviation and variance. Fraction Canopy Cover (FCC) also is calculated and the point cloud is classified following the fuel model by Prometheus. An analysis method based on satellite images was completed in order to analyse the evolution of vegetation in areas that suffer forest fire.

scholarly journals FAO-56 dual approach combined with multi-sensor remote sensing for regional evapotranspiration estimations

2013 ◽  
Vol 10 (6) ◽  
pp. 8117-8144
Author(s):  
R. Amri ◽  
M. Zribi ◽  
Z. Lili-Chabaane ◽  
C. Szczypta ◽  
J. C. Calvet ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
North Africa ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Dual Approach ◽  
Semi Arid Region ◽  
Crop Coefficients ◽  
The University ◽  
Regional Evapotranspiration

Abstract. The aim of this paper is to use a dual, modified version of the FAO-56 methodology for the estimation of regional evapotranspiration. The proposed approach combines the FAO-56 technique with remote sensing. Two vegetation classes are considered in the evapotranspiration estimations. In the case of cereals, crop coefficients and cover fractions are estimated using relationships established with the Normalized Difference Vegetation Index (NDVI), retrieved from SPOT-VGT data. In order to characterize the soil, a relationship is established between evaporation and the retrieved soil moisture values, based on the ERS/WSC products developed by the University of Vienna. This approach is applied to a semi-arid region in central Tunisia (North Africa) and is validated over 1991–2007 period using simulations from the ISBA-A-gs physical SVAT model. The ISBA soil moisture outputs are validated using remotely sensed ERS/WSC products. Finally, a comparison is made between the ISBA and FAO approaches, for the same studied site.

scholarly journals Índices Espectrais e Temperatura de Superfície em Áreas Queimadas no Parque Estadual do Araguaia em Mato Grosso

2020 ◽  
Vol 13 (2) ◽  
pp. 648
Author(s):  
Juliana Barbosa da Silva Lotufo ◽  
Nadja Gomes Machado ◽  
Luciene De Mello Taques ◽  
Dalila Morgana De Souza Mützenberg ◽  
Névio Lotufo Neto ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Vegetation Index ◽  
Absorption Capacity ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Natural Ecosystems ◽  
Mato Grosso ◽  
White Ash ◽  
Burnt Areas

As queimadas impactam negativamente a biodiversidade dos ecossistemas naturais, alterando os atributos físicos e biológicos e influenciando os fluxos de energia e biogeoquímicos. Sendo assim, o objetivo deste trabalho foi analisar através do sensoriamento remoto o efeito de áreas queimadas sobre os índices espectrais NDVI (Índice de Vegetação por Diferença Normalizada) e NBR (Índice de Queimada Normalizada) e na temperatura de superfície no Parque Estadual do Araguaia (PEA) em Mato Grosso, Brasil. Imagens do satélite de Landsat 8 OLI foram utilizadas para analisar a superfície no período pré-queimada (15/06/2015) e pós-queimada (21/10/2015) no Parque Estadual. Os resultados demonstraram que o NDVI apresentou maiores valores nas áreas com vegetação densa e menores valores em solo exposto, associados à vegetação seca, carbonização ou com completa ausência de vegetação. O NBR apresentou valores negativos nas áreas queimadas, devido ao aumento da refletância após passagem do fogo devido à deposição de cinzas brancas. A temperatura da superfície foi maior no pós-queimada relacionada a uma maior capacidade de absorção da superfície (cor preta das cinzas). Estes resultados são atribuídos aos efeitos combinados de maior exposição do solo, aumento da absorção da radiação pela vegetação carbonizada e redução da evapotranspiração relativa à vegetação verde existente no período pré-queimada.  Spectral Indexes and Surface Temperature on Burnt Areas at Araguaia State Park in Mato Grosso A B S T R A C TFires harm the biodiversity of natural ecosystems, changing physical and biological attributes and influencing energy and biogeochemical flows. Therefore, the objective of this work was to analyze through remote sensing the effect of burnt areas on the NDVI (Normalized Difference Vegetation Index) and NBR (Normalized Burn Index) spectral indexes and on the surface temperature in Araguaia State Park (PEA) in Mato Grosso, Brazil. Satellite images of Landsat 8 OLI were used to analyze the surface in the pre-burned (06/15/2015) and post-burned (10/21/2015) period in the State Park. The results showed that NDVI showed higher values in areas with dense vegetation and lower values in exposed soil, associated with dry vegetation, carbonization or with a complete absence of vegetation. The NBR showed negative values in the burnt areas, due to the increase in reflectance after the passage of the fire due to the deposition of white ash. The surface temperature was higher in the post-firing period due to a greater absorption capacity of the surface (black color of the ashes). These results are attributed to the combined effects of greater soil exposure, increased absorption of radiation by carbonized vegetation and reduced evapotranspiration relative to green vegetation in the pre-burned period.Keywords: Fire; Protected Area; Remote Sensing.

scholarly journals Estimating Crop Coefficients Using Remote Sensing-Based Vegetation Index

2013 ◽  
Vol 5 (4) ◽  
pp. 1588-1602 ◽  
Author(s):  
Baburao Kamble ◽  
Ayse Kilic ◽  
Kenneth Hubbard
Keyword(s):  
Remote Sensing ◽  
Vegetation Index ◽  
Crop Coefficients

Landscape Change in the Steppe of Algeria South-West Using Remote Sensing

2018 ◽  
Vol 18 (1) ◽  
pp. 41-52
Author(s):  
Tayeb Sitayeb ◽  
Ishak Belabbes
Keyword(s):  
Remote Sensing ◽  
Social Systems ◽  
Bare Soil ◽  
Climatic Conditions ◽  
Landscape Dynamics ◽  
Landsat 8 ◽  
Natural Ecosystems ◽  
Stipa Tenacissima ◽  
Steppe Species ◽  
Sparse Vegetation

Abstract Landscape dynamics is the result of interactions between social systems and the environment, these systems evolving significantly over time. climatic conditions and biophysical phenomena are the main factors of landscape dynamics. Also, currently man is responsible for most changes affecting natural ecosystems. The objective of this work is to study the dynamics of a typical landscape of western Algeria in time and space, and to map the distribution of vegetation groups constitute the vegetation cover of this ecosystem. as well as using a method of monitoring the state of a fragile ecosystem by remote sensing to understand the processes of changes in this area. The steppe constitutes a large arid area, with little relief, covered with low and sparse vegetation. it lies between the annual isohyets of 100 to 400 mm, subjected to a very old human exploitation with an activity of extensive breeding of sheep, goats, and camels. Landsat satellite data were used to mapping vegetation groups in the Mecheria Steppe at a scale of 1: 300,000. Then, a comparison was made between the two maps obtained by a classification of Landsat-8 sensor Operational Land Imager (OLI) acquired on March 18, 2014, and Landsat-5 sensor Thematic Mapper (TM) acquired on April 25, 1987. The results obtained show the main changes affecting the natural distribution of steppe species, a strong change in land occupied by the Stipa tenacissima steppe with 65% of change, this steppe is replaced by Thymelaea microphylla, Salsola vermiculata, lygeum spartum and Peganum harmala steppe. an absence from the steppe Artemisia herba-alba that has also been replaced by the same previous steppes species. The groups with Quercus ilex and Juniperus phoenicea are characterized by a strong regression that was lost 60% of its global surface and transformed by steppe to stipa tenacissima and bare soil.

TEMPERATURA DE SUPERFÍCIE E A RELAÇÃO COM O ÍNDICE DE VEGETAÇÃO POR DIFERENÇA NORMALIZADA (NDVI) NA MICROBACIA DO RIO DA BATATEIRAS, CRATO-CE

2019 ◽  
Vol 21 (2) ◽  
pp. 1310-1320
Author(s):  
Cícera Celiane Januário da Silva ◽  
Vinicius Ferreira Luna ◽  
Joyce Ferreira Gomes ◽  
Juliana Maria Oliveira Silva
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Temperature Measurement ◽  
Rainy Season ◽  
Satellite Images ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Landsat 8 ◽  
Low Density ◽  
Difference Map

O objetivo do presente trabalho é fazer uma comparação entre a temperatura de superfície e o Índice de Vegetação por Diferença Normalizada (NDVI) na microbacia do rio da Batateiras/Crato-CE em dois períodos do ano de 2017, um chuvoso (abril) e um seco (setembro) como também analisar o mapa de diferença de temperatura nesses dois referidos períodos. Foram utilizadas imagens de satélite LANDSAT 8 (banda 10) para mensuração de temperatura e a banda 4 e 5 para geração do NDVI. As análises demonstram que no mês de abril a temperatura da superfície variou aproximadamente entre 23.2ºC e 31.06ºC, enquanto no mês correspondente a setembro, os valores variaram de 25°C e 40.5°C, sendo que as maiores temperaturas foram encontradas em locais com baixa densidade de vegetação, de acordo com a carta de NDVI desses dois meses. A maior diferença de temperatura desses dois meses foi de 14.2°C indicando que ocorre um aumento da temperatura proporcionado pelo período que corresponde a um dos mais secos da região, diferentemente de abril que está no período de chuvas e tem uma maior umidade, presença de vegetação e corpos d’água que amenizam a temperatura.Palavras-chave: Sensoriamento Remoto; Vegetação; Microbacia.                                                                                  ABSTRACTThe objective of the present work is to compare the surface temperature and the Normalized Difference Vegetation Index (NDVI) in the Batateiras / Crato-CE river basin in two periods of 2017, one rainy (April) and one (September) and to analyze the temperature difference map in these two periods. LANDSAT 8 (band 10) satellite images were used for temperature measurement and band 4 and 5 for NDVI generation. The analyzes show that in April the surface temperature varied approximately between 23.2ºC and 31.06ºC, while in the month corresponding to September, the values ranged from 25ºC and 40.5ºC, and the highest temperatures were found in locations with low density of vegetation, according to the NDVI letter of these two months. The highest difference in temperature for these two months was 14.2 ° C, indicating that there is an increase in temperature provided by the period that corresponds to one of the driest in the region, unlike April that is in the rainy season and has a higher humidity, presence of vegetation and water bodies that soften the temperature.Key-words: Remote sensing; Vegetation; Microbasin.RESUMENEl objetivo del presente trabajo es hacer una comparación entre la temperatura de la superficie y el Índice de Vegetación de Diferencia Normalizada (NDVI) en la cuenca Batateiras / Crato-CE en dos períodos de 2017, uno lluvioso (abril) y uno (Septiembre), así como analizar el mapa de diferencia de temperatura en estos dos períodos. Las imágenes de satélite LANDSAT 8 (banda 10) se utilizaron para la medición de temperatura y las bandas 4 y 5 para la generación de NDVI. Los análisis muestran que en abril la temperatura de la superficie varió aproximadamente entre 23.2ºC y 31.06ºC, mientras que en el mes correspondiente a septiembre, los valores oscilaron entre 25 ° C y 40.5 ° C, y las temperaturas más altas se encontraron en lugares con baja densidad de vegetación, según el gráfico NDVI de estos dos meses. La mayor diferencia de temperatura de estos dos meses fue de 14.2 ° C, lo que indica que hay un aumento en la temperatura proporcionada por el período que corresponde a uno de los más secos de la región, a diferencia de abril que está en la temporada de lluvias y tiene una mayor humedad, presencia de vegetación y cuerpos de agua que suavizan la temperatura.Palabras clave: Detección remota; vegetación; Cuenca.

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