36,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
  • Broschiertes Buch

During 2007, a sampling campaign was conducted in grassland and shrubland areas in the states of Jalisco, Estado de México, Zacatecas, Coahuila, Durango and Querétaro, using multispectral radiometers in field conditions, in order to obtain information to analyze the relationship between vegetation reflectance obtained by using optical sensors with aerial cover and biomass production. Additionally, digital photographs were taken to estimate aerial cover using supervised classification methods. Aerial biomass sampling was carried out in 15% of the measurement points. With the sampling scheme…mehr

Produktbeschreibung
During 2007, a sampling campaign was conducted in grassland and shrubland areas in the states of Jalisco, Estado de México, Zacatecas, Coahuila, Durango and Querétaro, using multispectral radiometers in field conditions, in order to obtain information to analyze the relationship between vegetation reflectance obtained by using optical sensors with aerial cover and biomass production. Additionally, digital photographs were taken to estimate aerial cover using supervised classification methods. Aerial biomass sampling was carried out in 15% of the measurement points. With the sampling scheme used, the relationships between different vegetation indices (NDVIcp, IVCP and beta) with biomass and aerial cover were analyzed, establishing a relationship between these biophysical variables. The estimation of biomass and vegetation cover in a faster way, allows estimating the condition, trend or production of natural vegetation in grasslands and shrublands, making it possible to make management decisions in a more efficient and expeditious way.
Autorenporträt
Ernesto Chavez Castillo, graduated from the Universidad Autónoma Chapingo in 2009, with a degree in Renewable Natural Resources Engineering, focused on vegetation monitoring in grassland and shrubland areas of the Mexican Republic using state-of-the-art technology, as well as specialized software for the generation of results.