tag on yout theme's header.php
Read the detailed step-by-step at https://humbertosilva.com/visual-composer-infinite-image-carousel/
*/
// auxiliary code to create triggers for the add and remove class for later use
(function($){
$.each(["addClass","removeClass"],function(i,methodname){
var oldmethod = $.fn[methodname];
$.fn[methodname] = function(){
oldmethod.apply( this, arguments );
this.trigger(methodname+"change");
return this;
}
});
})(jQuery);
// main function for the infinite loop
function vc_custominfiniteloop_init(vc_cil_element_id){
var vc_element = '#' + vc_cil_element_id; // because we're using this more than once let's create a variable for it
window.maxItens = jQuery(vc_element).data('per-view'); // max visible items defined
window.addedItens = 0; // auxiliary counter for added itens to the end
// go to slides and duplicate them to the end to fill space
jQuery(vc_element).find('.vc_carousel-slideline-inner').find('.vc_item').each(function(){
// we only need to duplicate the first visible images
if (window.addedItens < window.maxItens) {
if (window.addedItens == 0 ) {
// the fisrt added slide will need a trigger so we know it ended and make it "restart" without animation
jQuery(this).clone().addClass('vc_custominfiniteloop_restart').removeClass('vc_active').appendTo(jQuery(this).parent());
} else {
jQuery(this).clone().removeClass('vc_active').appendTo(jQuery(this).parent());
}
window.addedItens++;
}
});
// add the trigger so we know when to "restart" the animation without the knowing about it
jQuery('.vc_custominfiniteloop_restart').bind('addClasschange', null, function(){
// navigate to the carousel element , I know, its ugly ...
var vc_carousel = jQuery(this).parent().parent().parent().parent();
// first we temporarily change the animation speed to zero
jQuery(vc_carousel).data('vc.carousel').transition_speed = 0;
// make the slider go to the first slide without animation and because the fist set of images shown
// are the same that are being shown now the slider is now "restarted" without that being visible
jQuery(vc_carousel).data('vc.carousel').to(0);
// allow the carousel to go to the first image and restore the original speed
setTimeout("vc_cil_restore_transition_speed('"+jQuery(vc_carousel).prop('id')+"')",100);
});
}
// restore original speed setting of vc_carousel
function vc_cil_restore_transition_speed(element_id){
// after inspecting the original source code the value of 600 is defined there so we put back the original here
jQuery('#' + element_id).data('vc.carousel').transition_speed = 600;
}
// init
jQuery(document).ready(function(){
// find all vc_carousel with the defined class and turn them into infine loop
jQuery('.vc_custominfiniteloop').find('div[data-ride="vc_carousel"]').each(function(){
// allow time for the slider to be built on the page
// because the slider is "long" we can wait a bit before adding images and events needed
var vc_cil_element = jQuery(this).prop("id");
if (window.innerWidth <= 480) {
// jQuery(vc_element).attr('data-per-view',1);
jQuery('.vc_item').each(function(){
this.style.width = '25%'
this.style.height = 'auto'
})
} else {
setTimeout("vc_custominfiniteloop_init('"+vc_cil_element+"')",2000);
}
});
});
(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':
new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],
j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src=
'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);
})(window,document,'script','dataLayer','GTM-TZHJ474');
var interval1 = setInterval(function(){
//console.log('ou no interval');
jQuery('.box-news .vc_gitem-zone-a').each(function() {
if((!jQuery(this).css('background-image').includes('vc_gitem_image'))) {
jQuery(this).css('background-image','none')
}
})
jQuery('.box-news .vc_gitem-zone-a a').each(function() {
jQuery(this).attr('data-hover','Leia mais')
})
}, 1000);
setTimeout(function() {
clearInterval(interval1);
},5000);
@font-face {
font-family: "FontAwesome";
src: url("/local/fonts/fa-brands-400.eot"),
url("/local/fonts/fa-brands-400.eot?#iefix") format("embedded-opentype"),
url("/local/fonts/fa-brands-400.woff2") format("woff2"),
url("/local/fonts/fa-brands-400.woff") format("woff"),
url("/local/fonts/fa-brands-400.ttf") format("truetype"),
url("/local/fonts/fa-brands-400.svg#fontawesome") format("svg");
}
@font-face {
font-family: "FontAwesome";
src: url("/local/fonts/fa-solid-900.eot"),
url("/local/fonts/fa-solid-900.eot?#iefix") format("embedded-opentype"),
url("/local/fonts/fa-solid-900.woff2") format("woff2"),
url("/local/fonts/fa-solid-900.woff") format("woff"),
url("/local/fonts/fa-solid-900.ttf") format("truetype"),
url("/local/fonts/fa-solid-900.svg#fontawesome") format("svg");
}
@font-face {
font-family: "FontAwesome";
src: url("/local/fonts/fa-regular-400.eot"),
url("/local/fonts/fa-regular-400.eot?#iefix") format("embedded-opentype"),
url("/local/fonts/fa-regular-400.woff2") format("woff2"),
url("/local/fonts/fa-regular-400.woff") format("woff"),
url("/local/fonts/fa-regular-400.ttf") format("truetype"),
url("/local/fonts/fa-regular-400.svg#fontawesome") format("svg");
unicode-range: U+F004-F005,U+F007,U+F017,U+F022,U+F024,U+F02E,U+F03E,U+F044,U+F057-F059,U+F06E,U+F070,U+F075,U+F07B-F07C,U+F080,U+F086,U+F089,U+F094,U+F09D,U+F0A0,U+F0A4-F0A7,U+F0C5,U+F0C7-F0C8,U+F0E0,U+F0EB,U+F0F3,U+F0F8,U+F0FE,U+F111,U+F118-F11A,U+F11C,U+F133,U+F144,U+F146,U+F14A,U+F14D-F14E,U+F150-F152,U+F15B-F15C,U+F164-F165,U+F185-F186,U+F191-F192,U+F1AD,U+F1C1-F1C9,U+F1CD,U+F1D8,U+F1E3,U+F1EA,U+F1F6,U+F1F9,U+F20A,U+F247-F249,U+F24D,U+F254-F25B,U+F25D,U+F267,U+F271-F274,U+F279,U+F28B,U+F28D,U+F2B5-F2B6,U+F2B9,U+F2BB,U+F2BD,U+F2C1-F2C2,U+F2D0,U+F2D2,U+F2DC,U+F2ED,U+F328,U+F358-F35B,U+F3A5,U+F3D1,U+F410,U+F4AD;
}
jQuery(document).ready(function(){
jQuery('.single-item').slick({
centerMode: true,
centerPadding: '60px',
slidesToShow: 5,
variableWidth: true,
autoplay: true,
autoplaySpeed: 2000,
responsive: [
{
breakpoint: 768,
settings: {
arrows: false,
centerMode: true,
centerPadding: '40px',
slidesToShow: 3
}
},
{
breakpoint: 520,
settings: {
arrows: false,
centerMode: true,
centerPadding: '40px',
slidesToShow: 1
}
}
]
});
});
.single-item img {
-webkit-filter: grayscale(100%);
filter: grayscale(100%);
}
.single-item img:hover {
-webkit-filter: grayscale(0);
filter: grayscale(0);
}
422n14
Integrating Forest Transects and Remote Sensing data to Quantify Carbon Loss due to Forest Degradation: a case study of the Brazilian Amazon. 1x5t5w
Souza Jr, C., Cochrane, M., Sales, M., Monteiro, A. L., & Mollicone, D. 2009. Integrating Forest Transects and Remote Sensing data to Quantify Carbon Loss due to Forest Degradation: a case study of the Brazilian Amazon. Forest Resources Assessment Working Paper 161: Case studies on measuring and assessing forest degradation (p. 23). Roma: FAO.
Characterizing and quantifying carbon stocks due to forest degradation is one of the greatest challenges to advancing in climate change negotiation on carbon payments through the Reducing Emissions from Deforestation and Degradation (REDD) proposal. Defining forest degradation, in this context is fundamental, since this process can mean many things to different stakeholders. For the purpose of climate change negotiation, forest degradation must be defined in of loss of carbon stocks, even though there are other forest ecological and biophysical processes that can be degraded, such as biodiversity content, soil erosion and compaction, tree species extinction and changes in the forest microclimate and albedo. In the Brazilian Amazon, forest degradation is mainly caused by selective logging, fires and forest fragmentation. These degradation processes operate synergistically and recurrently, which can lead to even more drastic loss of original carbon stocks from the original forest. In the past ten years, ur research team has been involved in projects to characterize forest degradation through forest inventories and remote sensing analysis. We have developed a methodology for assessing forest degradation based on field transects that allows us to estimate the intensity of forest degradation based on the loss of forest biomass stocks, forest canopy damage and soil disturbance, and as well as carbon sequestration due to regeneration of degraded forests. Additionally, we have developed a remote sensing methodology to detect and map the extent of forest degradation based on canopy damage and small clearings created by logging infrastructure, such as roads and log landings. These field and remote sensing methods have been applied extensively throughout the Brazilian Amazon, covering different logging, forest fragmentation and fire intensities. In this case study, we demonstrate how these methods have been applied and show new results of our recent efforts to integrate field and remote sensing data to improve the characterization and quantification of net carbon stocks associated with forest degradation in the Brazilian Amazon. Our results hold promise for contributing towards REDD negotiation, given that they can provide accurate estimations of carbon stock changes due to forest degradation and reliable information for defining baselines, as well as improving monitoring, reporting and verification (MRV) of REDD projects.
Souza Jr, C., Cochrane, M., Sales, M., Monteiro, A. L., & Mollicone, D. 2009. Integrating Forest Transects and Remote Sensing data to Quantify Carbon Loss due to Forest Degradation: a case study of the Brazilian Amazon. Forest Resources Assessment Working Paper 161: Case studies on measuring and assessing forest degradation (p. 23). Roma: FAO.