Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …
production with decreased amount of agricultural lands. Machine vision would ensure the …
Land use change modelling: current practice and research priorities
Land use change models are tools to support the analysis of the causes and consequences
of land use dynamics. Scenario analysis with land use models can support land use …
of land use dynamics. Scenario analysis with land use models can support land use …
[HTML][HTML] Explainable artificial intelligence (XAI) for interpreting the contributing factors feed into the wildfire susceptibility prediction model
A Abdollahi, B Pradhan - Science of the Total Environment, 2023 - Elsevier
One of the worst environmental catastrophes that endanger the Australian community is
wildfire. To lessen potential fire threats, it is helpful to recognize fire occurrence patterns and …
wildfire. To lessen potential fire threats, it is helpful to recognize fire occurrence patterns and …
[HTML][HTML] Urban land-use change: The role of strategic spatial planning
To date land-change science has devoted little attention to spatial policy and planning in
urban landscapes despite the widely accepted premise that planning affects urban land …
urban landscapes despite the widely accepted premise that planning affects urban land …
Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment
RG Pontius Jr, M Millones - International journal of remote sensing, 2011 - Taylor & Francis
The family of Kappa indices of agreement claim to compare a map's observed classification
accuracy relative to the expected accuracy of baseline maps that can have two types of …
accuracy relative to the expected accuracy of baseline maps that can have two types of …
A Google Earth Engine approach for wildfire susceptibility prediction fusion with remote sensing data of different spatial resolutions
The effects of the spatial resolution of remote sensing (RS) data on wildfire susceptibility
prediction are not fully understood. In this study, we evaluate the effects of coarse (Landsat 8 …
prediction are not fully understood. In this study, we evaluate the effects of coarse (Landsat 8 …
Modeling land use change using cellular automata and artificial neural network: The case of Chunati Wildlife Sanctuary, Bangladesh
Land use changes generally affect the integrity of an ecosystem. The effect of this change
can be very severe if the conversion disrupts a crucial habitat of major plants and animals …
can be very severe if the conversion disrupts a crucial habitat of major plants and animals …
Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea
S Park, C Choi, B Kim, J Kim - Environmental earth sciences, 2013 - Springer
Every year, the Republic of Korea experiences numerous landslides, resulting in property
damage and casualties. This study compared the abilities of frequency ratio (FR), analytic …
damage and casualties. This study compared the abilities of frequency ratio (FR), analytic …
Detecting important categorical land changes while accounting for persistence
RG Pontius Jr, E Shusas, M McEachern - Agriculture, ecosystems & …, 2004 - Elsevier
The cross-tabulation matrix is a fundamental starting point in the analysis of land change,
but many scientists fail to analyze the matrix according to its various components and thus …
but many scientists fail to analyze the matrix according to its various components and thus …
Predicting land-use change
A Veldkamp, EF Lambin - Agriculture, ecosystems & environment, 2001 - Elsevier
Land use change modelling, especially if done in a spatially-explicit, integrated and multi-
scale manner, is an important technique for the projection of alternative pathways into the …
scale manner, is an important technique for the projection of alternative pathways into the …