TUTORIAL PERCEPCION REMOTA:

1. Definición 
y conceptos
fundamentales


2. Naturaleza de las radiaciones 
electro-
magnéticas.

3. Interacción
de la radiación 
con la materia 
y origen de 
los espectros.
 

4. Interacción 
de las radiaciones 
con los objetos 
de la superficie
terrestre 


5. Interacciones 
atmosféricas.
 

6. La adquisición 
de datos y las 
plataformas
satelitales.
 

7. Sensores 

8. Estructura de
las imágenes 
digitales


9. Procesamiento
de las imágenes
digitales


10. Algunas 
aplicaciones 
de la percepción 
remota


Apendice I: nociones básicas sobre sensores de radar

Apendice II: bandas 
espectrales de algunos satélites actuales. 

Apendice III: 
bibliografia sugerida

 

VEGETATION INDEX EVOLUTION: THE DROUGHT

OTROS ITEMS DE INTERES 

Galería de imágenes

Plataformas de observación

Aeropuertos del mundo

Imágenes satelitales y seguros

¿Qué es la resolución?

Petróleo

Forestación

Estudios de viabilidad

Mercados de futuros

Cultivo del arroz

Nuestra misión

Nuestros servicios

¿Qué es la percepción remota?

¿Qué es una imagen satelital?

Uso del GPS

Estación rastreadora

Pasturas

Monitoreo de incendios

Sequías

Recursos naturales

Cultivo del tabaco

 

 

INDICES DE VEGETACION MAPAS DE PENDIENTES DESCRIPCION
  NOAA 14 - 10/11/1999

INDICE DE VEGETACION

  Pendiente entre los índices de vegetación 10/11/199 y 04/12/1999
  NOAA 14 - 04/12/1999

INDICE DE VEGETACION

  Pendiente entre los índices de vegetación 04/12/1999 y 03/01/2000
  NOAA 14 - 03/01/2000

INDICE DE VEGETACION

  Pendiente entre los índices de vegetación 03/01/2999 y 28-26/01/2000
  NOAA 14 - 18-26/01/2000

INDICE DE VEGETACION

  Pendiente entre los índices de vegetación 18-26/01/2000 y 07/03/2000
  NOAA 14 - 07/03/1999

INDICE DE VEGETACION

  Pendiente entre los índices de vegetación 07/03/2000 y 24/03/2000
  NOAA 14 - 24/03/2000

INDICE DE VEGETACION

  Pendiente entre los índices de vegetación 24/03/2000 y 23/04/2000
   

NOAA 14 - 23/04/2000

INDICE DE VEGETACION

Consulte por nuestros servicios:

 

Uruguay: spring and summer 1999-2000 

Our country is affected by a severe drought anticipating serious damages in agricultural production. Our ground station it has followed the evolution of this drought evaluating periodically the VEGETATION INDEXS (NDVI = Normalized Differential Vegetation Index) also called sometimes "GREEN IDEX". These indices have calculated at national coverage on the basis of received information of the polar orbit satellite NOAA-14. The following figures, corresponding to dates 10/11/1999, 4/12/1999, 3/01/2000, 18-26/01/2000 and 7/03/2000 they allow to observe the general evolution of the vegetation index during the period studied. Individually it can be observed that the vegetation more affected is throughout the coastal west
.

However, pay attention in the Laguna Merin basin. There it's possible to be appreciated zones in which the vegetation index was from less to more during this period: these zones are rice crops. Although this sector also was affected by the drought, without doubts, has been one of the only season crops that have surpassed the phenomenon. This, without doubt, it`s due to the existing water reserves in this influence area. In other regions of the country dedicated to the rice culture they are insinuated also growth, but not in the scale of the Laguna Merin basin. It's possible to extract of this analysis a very important conclusion about the remote sennsing agricultural applications: being an cultivated area sufficiently extensive (in this case great rice crops), its evolution can be monitored and analyzed with satellite like those NOAA series NOAA, despite its low spatial resolution (1100mts per pixel). This tool it can be very useful not only for pursuit of extensive cultures in our country, but also, to know the evolution of competitive areas at regional level (Brazil, Argentina). This is also valid for grass analysis evolution.

DROUGHT EVOLUTION DYNAMICS. 

The images displayed in our page offer, through the measurement of the vegetation index, a multitemporary schema of the diverse states of the green cover in the course of the intense drought period. In these images can be appreciated, when comparing different dates, that there are regions that evolve more quickly than others, and even can exist between two dates, regions that evolve in opposite sense, that is to say, while one of them makes worse, the other it improves it stress situation. Also can occurs that given region don't show any changes in the vegetation index between consecutive dates. In order to visualize graphically and to quantify these variations we have developed "slope maps". Between two consecutive multitemporary images the NDVI for an individual pixel of the image can to have decreased (accentuates the state of stress vegetable), to have been equal or to have increased (signal of certain recovery vegetable). If we assumed that the approach of these variations respond to a linear model, thevalue of the corresponding slope it will constitute a measurement of the way of the change and its intensity. The generalization of this approach to all the involved pixels in the images give the origin in the mentioned "slope maps". In these, the digital numbers associated to each pixel is the slope of the function that link the values of NDVI for the equivalent pixels in the two taken multitemporary images as it bases. Using a color pallette we facilitated the visualization of the changes.

 

Imágenes satelitales

Plataformas de observación

TUTORIAL IMÁGENES

Cultivo del arroz

Atractivo turístico

Forestación 

Estudios de viabilidad

Aeropuertos del mundo

Satélites y seguros

Mercados de futuros

Petróleo

¿Qué es la resolución?

Nuestra misión

Nuestros servicios

Sedimentos