---
product_id: 61825930
title: "CLIMATIC ANOMALIES AND LANDUSE CHANGE ON THE FIRE OCCURRENCE: SIMULATING IMPACTS OF CLIMATIC ANOMALIES AND LANDUSE CHANGE ON THE FIRE OCCURRENCE IN THE BRASILIAN AMAZON FOREST"
brand: "siqueira andreia"
price: "1569 kr"
currency: DKK
in_stock: true
category: "Paperback"
url: https://www.desertcart.dk/products/61825930-climatic-anomalies-and-landuse-change-on-the-fire-occurrence-simulating
store_origin: DK
region: Denmark
---

# CLIMATIC ANOMALIES AND LANDUSE CHANGE ON THE FIRE OCCURRENCE: SIMULATING IMPACTS OF CLIMATIC ANOMALIES AND LANDUSE CHANGE ON THE FIRE OCCURRENCE IN THE BRASILIAN AMAZON FOREST

**Brand:** siqueira andreia
**Price:** 1569 kr
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** CLIMATIC ANOMALIES AND LANDUSE CHANGE ON THE FIRE OCCURRENCE: SIMULATING IMPACTS OF CLIMATIC ANOMALIES AND LANDUSE CHANGE ON THE FIRE OCCURRENCE IN THE BRASILIAN AMAZON FOREST by siqueira andreia
- **How much does it cost?** 1569 kr with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.dk](https://www.desertcart.dk/products/61825930-climatic-anomalies-and-landuse-change-on-the-fire-occurrence-simulating)

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- siqueira andreia enthusiasts

## Why This Product

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## Description

Fire danger prediction is an essential part of a modern forest fire management system. Various factors such as fuel, weather, topography and probability of occurrence are assessed to predict a fire danger. Nowadays, a number of fire danger rating systems have been developed for specific countries or region. Most of these are applied over a short period of time and do not consider landuse factors in their analyses. They provide significant insights into the design of wildfire models such as the use of fuel and weather conditions in their analyses; however they do not integrate landuse factors such as deforestation in their predictions. Such factors are essential to understand and address the problem of wildfires and to make long-term predictions. The principal aim of this research is to build a predictive fire model for the deforestation frontier and regions where there is human activity in the Brasilian Amazon Forest using logistic regression and neural network methodologies. These methodologies quantify the relationship between climatic anomalies, landuse change and topography for fire occurrence over time.

## Features

- Climatic Anomalies and Landuse Change on the Fire Occurrence

## Images

![CLIMATIC ANOMALIES AND LANDUSE CHANGE ON THE FIRE OCCURRENCE: SIMULATING IMPACTS OF CLIMATIC ANOMALIES AND LANDUSE CHANGE ON THE FIRE OCCURRENCE IN THE BRASILIAN AMAZON FOREST - Image 1](https://images-na.ssl-images-amazon.com/images/I/51Mj%2BdSC4rL.jpg)

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*Product available on Desertcart Denmark*
*Store origin: DK*
*Last updated: 2026-02-10*