𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Drought forecasting based on the remote sensing data using ARIMA models

✍ Scribed by Ping Han; Peng Xin Wang; Shu Yu Zhang; De Hai Zhu

Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
582 KB
Volume
51
Category
Article
ISSN
0895-7177

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A kinematic-wave-based distributed water
A kinematic-wave-based distributed watershed model using FEM, GIS and remotely sensed data
✍ K. Venkata Reddy; T. I. Eldho; E. P. Rao; N. Hengade πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 770 KB

## Abstract For the appropriate management of water resources in a watershed, it is essential to calculate the time distribution of runoff for the given rainfall event. In this paper, a kinematic‐wave‐based distributed watershed model using finite element method (FEM), geographical information syst

Sediment yield modelling for small agric
Sediment yield modelling for small agricultural catchments: land-cover parameterization based on remote sensing data analysis
✍ Enrico C. Paringit; Kazuo Nadaoka πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 419 KB

## Abstract Vegetation and soil properties and their associated changes through time and space affect the various stages of soil erosion. The island of Ishigaki in Okinawa Prefecture, Japan is of particular concern because of the propensity of the red‐soil‐dominated watersheds in the area to contri

Model-based mean square error estimators
Model-based mean square error estimators for k-nearest neighbour predictions and applications using remotely sensed data for forest inventories
✍ Steen Magnussen; Ronald E. McRoberts; Erkki O. Tomppo πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 1009 KB

New model-based estimators of the uncertainty of pixel-level and areal k-nearest neighbour (k nn ) predictions of attribute Y from remotely-sensed ancillary data X are presented. Non-parametric functions predict Y from scalar 'Single Index Model' transformations of X. Variance functions generated es

On the usefulness of remote sensing inpu
On the usefulness of remote sensing input data for spatially distributed hydrological modelling: case of the Tarim River basin in China
✍ T. Liu; P. Willems; X. W. Feng; Q. Li; Y. Huang; An. M. Bao; X. Chen; F. Veroust πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 English βš– 480 KB πŸ‘ 2 views

## Abstract The ecological situation of the Tarim River basin in China seriously declined since the early 1950s, mainly due to a strong increase in water abstraction for irrigation purposes. To restore the ecological system and support sustainable development of the Tarim River basin region in Chin