C. Adjorlolo

发表

Challenges and opportunities in the use of remote sensing for C3 and C4 grass species discrimination and mapping

O. Mutanga, R. Ismail, C. Adjorlolo, 2012 .

Spectral resampling based on user-defined inter-band correlation filter : C 3 1 and C 4 grass species classification 2 3 4

M. Cho, O. Mutanga, R. Ismail, 2013 .

Integrating remote sensing and geostatistics to estimate woody vegetation in an African savanna

Onisimo Mutanga, O. Mutanga, O. Mutanga, 2013 .

Estimating woody vegetation cover in an African Savanna using remote sensing and geostatistics.

C. Adjorlolo, 2008 .

Predicting the distribution of C3 (Festuca spp.) grass species using topographic variables and binary logistic regression model

O. Mutanga, J. Odindi, C. Adjorlolo, 2018 .

Remote sensing of the distribution and quality of subtropical C3 and C4 grasses.

C. Adjorlolo, 2013 .

Trends in seasonal composition of plant functional types: retrieving fraction of winter-green grass cover in the Drakensberg Mountains using long-term satellite observations (Platform)

O. Mutanga, C. Adjorlolo, N. Mashiyi, 2016 .

Predicting C3 and C4 grass nutrient variability using in situ canopy reflectance and partial least squares regression

M. Cho, O. Mutanga, C. Adjorlolo, 2015 .

Mapping the spatial distribution of Lippia javanica (Burm. f.) Spreng using Sentinel-2 and SRTM-derived topographic data in malaria endemic environment

J. Olwoch, C. Adjorlolo, O. Malahlela, 2019, Ecological Modelling.

Integrating remote sensing and geostatistics in mapping Seriphium plumosum (bankrupt bush) invasion.

C. Adjorlolo, Morwapula Mashalane, 2016 .

Evaluating the potential of the red edge channel for C3 (Festuca spp.) grass discrimination using Sentinel-2 and Rapid Eye satellite image data

Onisimo Mutanga, John Odindi, Clement Adjorlolo, 2019 .

Estimating canopy nitrogen concentration across C3 and C4 grasslands using WorldView-2 multispectral data and the random forest algorithm

M. Cho, O. Mutanga, C. Adjorlolo, 2013, 2013 Second International Conference on Agro-Geoinformatics (Agro-Geoinformatics).

Assessing the built-up footprint in an agricultural system using multi-temporal remotely sensed data

J. Odindi, C. Adjorlolo, Zibusiso Dlamini, 2015 .

Sugarcane: a way out of energy poverty

B. Dale, L. Nogueira, C. Adjorlolo, 2016 .

Exploring Transferable Techniques to Retrieve Crop Biophysical and Biochemical Variables Using Sentinel-2 Data

P. Mhangara, C. Adjorlolo, M. Kganyago, 2022, Remote. Sens..

Testing Sentinel-2 Spectral Configurations for Estimating Relevant Crop Biophysical and Biochemical Parameters for Precision Agriculture Using Tree-based and Kernel-based Algorithms

T. Alexandridis, P. Mhangara, G. Laneve, 2022, Geocarto International.

Evaluating the contribution of Sentinel-2 view and illumination geometry to the accuracy of retrieving essential crop parameters

Juan Suarez Beltran, T. Alexandridis, P. Mhangara, 2023, GIScience & Remote Sensing.

Estimating Crop Biophysical Parameters Using Machine Learning Algorithms and Sentinel-2 Imagery

Clement Adjorlolo, Paidamwoyo Mhangara, Mahlatse Kganyago, 2021, Remote. Sens..

Integration of remote sensing and conventional models for modeling grazing/browsing capacity in southern African savannas

Clement Adjorlolo, Jacobus Oosthuizen Botha, C. Adjorlolo, 2015 .

Evaluating Efficacy of Landsat-Derived Environmental Covariates for Predicting Malaria Distribution in Rural Villages of Vhembe District, South Africa

Clement Adjorlolo, J. Olwoch, C. Adjorlolo, 2018, EcoHealth.

Optimizing spectral resolutions for the classification of C 3 and C 4 grass species, using wavelengths of known absorption features

Riyad Ismail, Onisimo Mutanga, Clement Adjorlolo, 2012 .

Evaluating the capability of Landsat 8 OLI and SPOT 6 for discriminating invasive alien species in the African Savanna landscape

John Odindi, Clement Adjorlolo, Paidamwoyo Mhangara, 2018, Int. J. Appl. Earth Obs. Geoinformation.

Validation of atmospheric correction approaches for Sentinel-2 under partly-cloudy conditions in an African agricultural landscape

John Odindi, Georgios Ovakoglou, Thomas Alexandridis, 2020, Remote Sensing.

MODELLING CARRYING CAPACITY FOR THE THANDA PRIVATE GAME RESERVE, SOUTH AFRICA USING LANDSAT 8 MULTISPECTRAL DATA

E. Adam, Z. Oumar, C. Adjorlolo, 2017 .

Evaluating the robustness of models developed from field spectral data in predicting African grass foliar nitrogen concentration using WorldView-2 image as an independent test dataset

Onisimo Mutanga, Elfatih M. Abdel-Rahman, Elhadi Adam, 2015, Int. J. Appl. Earth Obs. Geoinformation.

Estimation of Canopy Nitrogen Concentration Across C3 and C4 Grasslands Using WorldView-2 Multispectral Data

Onisimo Mutanga, Moses Azong Cho, Clement Adjorlolo, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Selecting a subset of spectral bands for mapping invasive alien plants: a case of discriminating Parthenium hysterophorus using field spectroscopy data

John Odindi, Clement Adjorlolo, Mahlatse Kganyago, 2017 .

Spectral resampling based on user-defined inter-band correlation filter: C3 and C4 grass species classification

Onisimo Mutanga, Riyad Ismail, Moses Azong Cho, 2013, Int. J. Appl. Earth Obs. Geoinformation.

Integrating geostatistics and remote sensing for mapping the spatial distribution of cattle hoofprints in relation to malaria vector control

J. Olwoch, C. Adjorlolo, O. Malahlela, 2019, International Journal of Remote Sensing.

Evaluating Efficacy of Landsat-Derived Environmental Covariates for Predicting Malaria Distribution in Rural Villages of Vhembe District, South Africa

J. Olwoch, C. Adjorlolo, O. Malahlela, 2018, EcoHealth.

Optical remote sensing of crop biophysical and biochemical parameters: An overview of advances in sensor technologies and machine learning algorithms for precision agriculture

P. Mhangara, C. Adjorlolo, M. Kganyago, 2024, Comput. Electron. Agric..