Survey on Land Use/Land Cover (LU/LC) change analysis in remote sensing and GIS environment: Techniques and Challenges
SN MohanRajan, A Loganathan… - Environmental Science and …, 2020 - Springer
The surface of the earth is rapidly changing every day due to certain natural reasons and
other impacts by society. Over the last few decades, the hottest topics in the field of remote …
other impacts by society. Over the last few decades, the hottest topics in the field of remote …
Artificial neural networks for sustainable development: a critical review
Computational and statistical tools help manage the prevailing challenges of the 17
Sustainable Development Goals (SDGs) by providing meticulous understanding of …
Sustainable Development Goals (SDGs) by providing meticulous understanding of …
Modelling the impacts of climate and land use change on water security in a semi-arid forested watershed using InVEST
Water security, a key policy objective for sustainable development, is under stress as a result
of land use and climate change, especially in (semi-) arid areas like Iran. Land use change …
of land use and climate change, especially in (semi-) arid areas like Iran. Land use change …
Integration of sentinel-1 and sentinel-2 for classification and LULC mapping in the urban area of Belém, eastern Brazilian Amazon
In tropical regions, such as in the Amazon, the use of optical sensors is limited by high cloud
coverage throughout the year. As an alternative, Synthetic Aperture Radar (SAR) products …
coverage throughout the year. As an alternative, Synthetic Aperture Radar (SAR) products …
Comparing pan-sharpened Landsat-9 and Sentinel-2 for land-use classification using machine learning classifiers
This paper evaluates the ability of two machine learning algorithms, Random Forest (RF)
and Support Vector Machine (SVM), to generate land-use maps using the recently launched …
and Support Vector Machine (SVM), to generate land-use maps using the recently launched …
Improved support vector machine enabled radial basis function and linear variants for remote sensing image classification
Remote sensing technologies have been widely used in the contexts of land cover and land
use. The image classification algorithms used in remote sensing are of paramount …
use. The image classification algorithms used in remote sensing are of paramount …
Oil palm mapping over Peninsular Malaysia using Google Earth Engine and machine learning algorithms
NSN Shaharum, HZM Shafri, WAWAK Ghani… - Remote Sensing …, 2020 - Elsevier
Oil palm plays a pivotal role in the ecosystem, environment, economy and without proper
monitoring, uncontrolled oil palm activities could contribute to deforestation that can cause …
monitoring, uncontrolled oil palm activities could contribute to deforestation that can cause …
A review of terrestrial carbon assessment methods using geo-spatial technologies with emphasis on arid lands
Geo-spatial technologies (ie, remote sensing (RS) and Geographic Information Systems
(GIS)) offer the means to enable a rapid assessment of terrestrial carbon stock (CS) over …
(GIS)) offer the means to enable a rapid assessment of terrestrial carbon stock (CS) over …
Review of artificial intelligence applied in decision-making processes in agricultural public policy
JM Sánchez, JP Rodríguez, HE Espitia - Processes, 2020 - mdpi.com
The objective of this article is to review how Artificial Intelligence (AI) tools have helped the
process of formulating agricultural public policies in the world. For this, a search process …
process of formulating agricultural public policies in the world. For this, a search process …
Assessing the influence of land use/land cover alteration on climate variability: an analysis in the Aurangabad District of Maharashtra State, India
Examining the influence of land use/land cover transformation on meteorological variables
has become imperative for maintaining long-term climate sustainability. Rapid growth and …
has become imperative for maintaining long-term climate sustainability. Rapid growth and …