Review of remote sensing methods to map coffee production systems

DA Hunt, K Tabor, JH Hewson, MA Wood… - Remote Sensing, 2020 - mdpi.com
The coffee sector is working towards sector-wide commitments for sustainable production.
Yet, knowledge of where coffee is cultivated and its environmental impact remains limited, in …

Application of multiple endmember spectral mixture analysis (MESMA) to AVIRIS imagery for coastal salt marsh mapping: a case study in China Camp, CA, USA

L Li, SL Ustin, M Lay - International Journal of Remote Sensing, 2005 - Taylor & Francis
Multiple endmember spectral mixture analysis (MESMA) was applied to the Airborne Visible
and Infrared Imaging Spectrometer (AVIRIS) imagery of a salt marsh in China Camp at San …

Using Landsat ETM+ imagery to measure population density in Indianapolis, Indiana, USA

G Li, Q Weng - Photogrammetric Engineering & Remote …, 2005 - ingentaconnect.com
Remote sensing techniques have been previously used in urban analysis, settlement
detection, and population estimation. This research explores the potentials of integration of …

Estimating impervious surfaces using linear spectral mixture analysis with multitemporal ASTER images

Q Weng, X Hu, H Liu - International Journal of Remote Sensing, 2009 - Taylor & Francis
Impervious surface is a key indicator of urban environmental quality and degree of
urbanization. Therefore, estimation and mapping of impervious surfaces by using remote …

Coastal wetland vegetation classification with a Landsat Thematic Mapper image

Y Zhang, D Lu, B Yang, C Sun… - International Journal of …, 2011 - Taylor & Francis
Coastal wetland vegetation classification with remotely sensed data has attracted increased
attention but remains a challenge. This paper explored a hybrid approach on a Landsat …

Mapping and monitoring land degradation risks in the Western Brazilian Amazon using multitemporal Landsat TM/ETM+ images

D Lu, M Batistella, P Mausel… - Land Degradation & …, 2007 - Wiley Online Library
Mapping and monitoring land degradation in areas under human‐induced stresses have
become urgent tasks in remote sensing whose importance has not yet been fully …

Early warning tropical forest loss alerts in Peru using Landsat

C Vargas, J Montalban, AA Leon - Environmental Research …, 2019 - iopscience.iop.org
Abstract Since March 16, 2017, the National Forest Conservation Program for Climate
Change Mitigation (PNCBMCC) of Peru's Ministry of the Environment (MINAM) has been …

Measuring the dead component of mixed grassland with Landsat imagery

D Xu, X Guo, Z Li, X Yang, H Yin - Remote Sensing of Environment, 2014 - Elsevier
Detecting non-photosynthetic materials challenges multispectral remote sensing of
vegetation. Dead component of grasslands, including litter and standing dead material as …

The multispectral separability of Costa Rican rainforest types with support vector machines and Random Forest decision trees

SE Sesnie, B Finegan, PE Gessler… - … Journal of Remote …, 2010 - Taylor & Francis
Estimating the extent of tropical rainforest types is needed for biodiversity assessment and
carbon accounting. In this study, we used statistical comparisons to determine the ability of …

Examining the Effects of Soil and Water Conservation Measures on Patterns and Magnitudes of Vegetation Cover Change in a Subtropical Region Using Time Series …

X Sun, G Li, Q Wu, D Li, D Lu - Remote Sensing, 2024 - mdpi.com
Soil and water erosion has long been regarded as a serious environmental problem in the
world. Thus, research on reducing soil erosion has received continuous attention. Different …